Performance Analysis and Comparison of Multiple Routing Protocols in a Large-Area, High-Speed Mobile Node Ad Hoc Network
The U.S. Air Force is interested in developing a standard ad hoc framework using "heavy" aircraft to route data across large regions. The Zone Routing Protocol (ZRP) has the potential to provide seamless large-scale routing for DoD under the Joint Tactical Radio System (JTRS) program. The goal of this study is to determine if there is a difference between routing protocol performance when operating in a large-area MANET with high-speed mobile nodes. This study analyzes MANET performance when using reactive, proactive, and hybrid routing protocols, specifically AODV, DYMO, Fisheye, and ZRP. This analysis compares the performance of the four routing protocols under the same MANET conditions. Average end-to-end delay, number of packets received, and throughput are the performance metrics used. Results indicate that routing protocol selection impacts MANET performance. Reactive protocol performance is better than hybrid and proactive protocol performance in each metric. Average ETE delays are lower using AODV (1.17 secs) and DYMO (2.14 secs) than ZRP (201.9 secs) or Fisheye (169.7 secs). Number of packets received is higher using AODV (531.6) and DYMO (670.2) than ZRP (267.3) or Fisheye (186.3). Throughput is higher using AODV (66,500 bps) and DYMO (87,577 bps) than ZRP (33,659) or Fisheye (23,630). The benefits of ZRP and Fisheye are not able to be taken advantage of in the MANET configurations modeled in this research using a "heavy" aircraft ad hoc framework.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Psychological Operations Within the Cyberspace Domain
The importance of cyberspace and the utility of networked computer systems have grown exponentially over the past 20 years. For this reason, this study advances a concept for employing the mission essential functions of Psychological Operations within the cyberspace domain to influence an adversary, key decision makers and relevant publics across the full range of military operations in support of the Joint Force Commander. It addresses the different types of persuasive technologies and the advantages that this domains offers to Psychological Operations professionals. The analysis demonstrates that PSYOP capabilities developed to exploit the unique nature of the cyberspace domain can be extremely persuasive if properly integrated into Joint Force Operations. Effects created within the cyber domain can have real-world results that drive relevant publics to make decisions favorable to the Joint Force.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Developing a Corpus Specific Stop-List Using Quantitative Comparison
We have become overwhelmed with electronic information and it seems our situation is not going to improve. When computers first became thought of as instruments to assist us and make our lives easier we thought of a future, that would be a manageable one. We envisioned a day when documents, no matter when they were produced, would be as close as a click of the mouse and the typing of a few words. Locating information of interest was not going to take all day. What we have found is technology changes faster than we can keep up with it. This thesis will look at how we can provide faster access to the information we are looking for. Previous research in the area of document/information retrieval has mainly focused on the automated creation of abstracts and indexes. But today's requirements are more closely related to searching for information through the use of queries. At the heart of the query process is the removal of search terms with little or no significance to the search being performed. More often than not stop-lists are constructed from the most commonly occurring words in the English language. This approach may be fine for systems, which handle information from very broad categories.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Cyber Capabilities for Global Strike in 2035
This paper examines global strike, a core Air Force capacity to quickly and precisely attack any target anywhere, anytime, from a cyber perspective. Properly used, cyberspace capabilities can significantly enhance Air Force (AF) capabilities to provide the nation the capacity to influence the strategic behavior of existing and potential adversaries. This paper argues that the AF must improve both the quantity and quality of its cyberspace operations force, by treating cyber warfare capabilities in the same manner as it treats its other weapon systems. It argues that despite preconceptions of future automation capabilities, that cyberspace will be a highly dynamic and fluid environment characterized by interactions with a thinking adversary. As such, while automation is required, cyber warfare will be much more manpower intensive than is currently understood, and will require a force that is very highly trained. The rapid evolution of this man-made domain will also demand a robust developmental science and research investment in constantly keeping cyber warfare capabilities in pace with the technologies of the environment. This paper reaches these conclusions by first providing a glimpse into the world of cyberspace in 2035. The paper then assesses how cyber warfare mechanisms could disrupt, disable, or destroy potential adversary targets. It describes how these capabilities might work in two alternate scenarios, and then describes the steps the AF needs to take in the future to be confident in its ability to fly, fight, and win in cyberspace.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Development of a Methodology for Customizing Insider Threat Auditing on a Linux Operating System
Insider threats can pose a great risk to organizations and by their very nature are difficult to protect against. Auditing and system logging are capabilities present in most operating systems and can be used for detecting insider activity. However, current auditing methods are typically applied in a haphazard way, if at all, and are not conducive to contributing to an effective insider threat security policy. This research develops a methodology for designing a customized auditing and logging template for a Linux operating system. An intent-based insider threat risk assessment methodology is presented to create use case scenarios tailored to address an organization's specific security needs and priorities. These organization specific use cases are verified to be detectable via the Linux auditing and logging subsystems and the results are analyzed to create an effective auditing rule set and logging configuration for the detectable use cases. Results indicate that creating a customized auditing rule set and system logging configuration to detect insider threat activity is possible.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Uscybercom
Even though the Department of Defense has named cyberspace as the newest domain of warfare, the United States is not adequately organized to conduct cyber war. United States Strategic Command (USSTRATCOM) is the functional combatant command responsible for cyberspace but suffers from numerous problems that prevent it from properly planning, coordinating, and conducting cyberspace operations. Among the problems facing USSTRATCOM are insufficient manning, an overly diverse mission set, and the recent failures within America's nuclear enterprise. To overcome USSTRATCOM's problems and to provide the cyber domain the prominence needed to properly protect the United States, a new functional combatant command for cyberspace must be established. This command, United States Cyberspace Command (USCYBERCOM), should be given responsibility for conducting worldwide cyber attack, defense, and intelligence. USCYBERCOM should also serve as a supporting command to the geographic combatant commanders and must establish an in-theater headquarters presence similar to the land, air, maritime, and special operations forces.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
A Study to Determine Damage Assessment Methods or Models on Air Force Networks
Damage assessment for computer networks is a new area of interest for the Air Force. Previously, there has not been a concerted effort to codify damage assessment or develop a model that can be applied in assessing damage done by criminals, natural disasters, or other methods of damaging a computer network. The research undertaken attempts to identify if the Air Force MAJCOM Network Operations Support Centers (NOSC) use damage assessment models or methods. If the Air Force does use a model or method, an additional question of how the model was attained or decided upon is asked. All information comes from interviews, via e-mail or telephone, of managers in charge of computer security incidents at the Major Command level. The research is qualitative, so there are many biases and opportunities for additional, more research. Currently, there is some evidence to show that several Network Operations Support Centers are using some form of damage assessment, however, each organization has highly individualized damage assessment methods that have been developed internally and not from a re-producible method or model.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Stochastic Estimation and Control of Queues Within a Computer Network
An extended Kalman filter is used to estimate size and packet arrival rate of network queues. These estimates are used by a LQG steady state linear perturbation PI controller to regulate queue size within a computer network. This paper presents the derivation of the transient queue behavior for a system with Poisson traffic and exponential service times. This result is then validated for ideal traffic using a network simulated in OPNET. A more complex OPNET model is then used to test the adequacy of the transient queue size model when non-Poisson traffic is combined. The extended Kalman filter theory is presented and a network state estimatoris designed using the transient queue behavior model. The equations needed for the LQG synthesis of a steady state linear perturbation PI controller are presented. These equations are used to develop a network queue controller based on the transient queue model. The performance of the network state estimator and network queue controller was investigated and shown to provide improved control when compared to other simplistic control algorithms.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Historical Analysis of the Awareness and Key Issues of the Insider Threat to Information Systems
Since information systems have become smaller, faster, cheaper and more interconnected many organizations have become more dependent on them for daily operations and to maintain critical data. This reliance on information systems is not without risk of attack. Because these systems are relied upon so heavily the impact of such an attack also increases, making the protection of these systems essential. Information system security often focuses on the risk of attack and damage from the outsider. High-profile issues such as hackers, viruses and denial-of-service are generally emphasized in literature and other media outlets. A neglected area of computer security that is just as prevalent and potentially more damaging is the threat from a trusted insider. An organizational insider who misuses a system whether intentional or unintentional is often in a position to know where and how to access important information. How do we become aware of such activities and protect against this threat? This research was a historical analysis of the insider threat to information systems to develop a understanding and framework of the topic.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Using Sequence Analysis to Perform Application-Based Anomaly Detection Within an Artificial Immune System Framework
The Air Force and other Department of Defense (DoD) computer systems typically rely on traditional signature-based network IDSs to detect various types of attempted or successful attacks. Signature-based methods are limited to detecting known attacks or similar variants; anomaly-based systems, by contrast, alert on behaviors previously unseen. The development of an effective anomaly-detecting, application-based IDS would increase the Air Force's ability to ward off attacks that are not detected by signature-based network IDSs, thus strengthening the layered defenses necessary to acquire and maintain safe, secure communication capability. This system follows the Artificial Immune System (AIS) framework, which relies on a sense of "self," or normal system states to determine potentially dangerous abnormalities ("non-self").This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Using a Distributed Object-Oriented Database Management System in Support of a High-Speed Network Intrusion Detection System Data Repository
The Air Force has multiple initiatives to develop data repositories for high-speed network intrusion detection systems (IDS). All of the developed systems utilize a relational database management system (RDBMS) as the primary data storage mechanism. The purpose of this thesis is to replace the RDBMS in one such system developed by AFRL, the Automated Intrusion Detection Environment (AIDE), with a distributed object-oriented database management system (DOODBMS) and observe a number of areas: its performance against the RDBMS in terms of IDS event insertion and retrieval, the distributed aspects of the new system, and the resulting object-oriented architecture. The resulting system, the Object-Oriented Automated Intrusion Detection Environment (OOAIDE), is designed, built, and tested using the DOODBMS Objectivity/DB. Initial tests indicate that the new system is remarkably faster than the original system in terms of event insertion. Object retrievals are also faster when more than one association is used in the query. The database is then replicated and distributed across a simple heterogeneous network with preliminary tests indicating no loss of performance. A standardized object model is also presented that can accommodate any IDS data repository built around a DOODBMS architecture.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Bubble World a Novel Visual Information Retrieval Technique
With the tremendous growth of published electronic information sources in the last decade and the unprecedented reliance on this information to succeed in day-to-day operations, comes the expectation of finding the right information at the right time. Sentential interfaces are currently the only viable solution for searching through large infospheres of unstructured information, however, the simplistic nature of their interaction model and lack of cognitive amplification they can provide severely limit the performance of the interface. Visual information retrieval systems are emerging as possible candidate replacements for the more traditional interfaces, but many lack the cognitive framework to support the knowledge crystallization process found to be essential in information retrieval. This work introduces a novel visual information retrieval technique crafted from two distinct design genres: (1) the cognitive strategies of the human mind to solve problems and (2) observed interaction patterns with existing information retrieval systems. Based on the cognitive and interaction framework developed in this research, a functional prototype information retrieval system, called Bubble World, has been created to demonstrate that significant performance gains can be achieved using this technique when compared to more traditional text-based interfaces.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Android Protection System
This research develops the Android Protection System (APS), a hardware-implemented application security mechanism on Android smartphones. APS uses a hash-based white-list approach to protect mobile devices from unapproved application execution. Functional testing confirms this implementation allows approved content to execute on the mobile device while blocking unapproved content. Performance benchmarking shows system overhead during application installation increases linearly as the application package size increases. APS presents no noticeable performance degradation during application execution. The security mechanism degrades system performance only during application installation, when users expect delay. APS is implemented within the default Android application installation process.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
An Application of Automated Theorem Provers to Computer System Security
The Schematic Protection Model is specified in SAL and theorems about Take-Grant and New Technology File System schemes are proven. Arbitrary systems can be specified in SPM and analyzed. This is the first known automated analysis of SPM specifications in a theorem prover. The SPM specification was created in such a way that new specifications share the underlying framework and are configurable within the specifications file alone. This allows new specifications to be created with ease as demonstrated by the four unique models included within this document. This also allows future users to more easily specify models without recreating the framework. The built-in modules of SAL provided the needed support to make the model flexible and entities asynchronous. This flexibility allows for the number of entities to be dynamic and to meet the needs of different specifications. The models analyzed in this research demonstrate the validity of the specification and its application to real-world systems.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Software Obfuscation With Symmetric Cryptography
Software protection is of great interest to commercial industry. Millions of dollars and years of research are invested in the development of proprietary algorithms used in software programs. A reverse engineer that successfully reverses another company's proprietary algorithms can develop a competing product to market in less time and with less money. The threat is even greater in military applications where adversarial reversers can use reverse engineering on unprotected military software to compromise capabilities on the field or develop their own capabilities with significantly less resources. Thus, it is vital to protect software, especially the software's sensitive internal algorithms, from adversarial analysis. Software protection through obfuscation is a relatively new research initiative. The mathematical and security community have yet to agree upon a model to describe the problem let alone the metrics used to evaluate the practical solutions proposed by computer scientists. We propose evaluating solutions to obfuscation under the intent protection model, a combination of white-box and black-box protection to reflect how reverse engineers analyze programs using a combination white-box and black-box attacks. In addition, we explore use of experimental methods and metrics in analogous and more mature fields of study such as hardware circuits and cryptography. Finally, we implement a solution under the intent protection model that demonstrates application of the methods and evaluation using the metrics adapted from the aforementioned fields of study to reflect the unique challenges in a software-only software protection technique.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Dynamic Polymorphic Reconfiguration to Effectively Cloak a Circuit's Function
Today's society has become more dependent on the integrity and protection of digital information used in daily transactions resulting in an ever increasing need for information security. Additionally, the need for faster and more secure cryptographic algorithms to provide this information security has become paramount. Hardware implementations of cryptographic algorithms provide the necessary increase in throughput, but at a cost of leaking critical information. Side Channel Analysis (SCA) attacks allow an attacker to exploit the regular and predictable power signatures leaked by cryptographic functions used in algorithms such as RSA. In this research the focus on a means to counteract this vulnerability by creating a Critically Low Observable Anti-Tamper Keeping Circuit (CLOAK) capable of ontinuously changing the way it functions in both power and timing. This research has determined that a polymorphic circuit design capable of varying circuit power consumption and timing can protect a cryptographic device from an Electromagnetic Analysis (EMA) attacks. In essence, we are effectively CLOAKing the circuit functions from an attacker.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Metamorphism as a Software Protection for Non-Malicious Code
The software protection community is always seeking new methods for defending their products from unwanted reverse engineering, tampering, and piracy. Most current protections are static. Once integrated, the program never modifies them. Being static makes them stationary instead of moving targets. This observation begs a question, "Why not incorporate self-modification as a defensive measure?" Metamorphism is a defensive mechanism used in modern, advanced malware programs. Although the main impetus for this protection in malware is to avoid detection from anti-virus signature scanners by changing the program's form, certain metamorphism techniques also serve as anti-disassembler and anti-debugger protections. For example, opcode shifting is a metamorphic technique to confuse the program disassembly, but malware modifies these shifts dynamically unlike current static approaches. This research assessed the performance overhead of a simple opcode-shifting metamorphic engine and evaluated the instruction reach of this particular metamorphic transform. In addition, dynamic subroutine reordering was examined. Simple opcode shifts take only a few nanoseconds to execute on modern processors and a few shift bytes can mangle several instructions in a program's disassembly. A program can reorder subroutines in a short span of time (microseconds). The combined effects of these metamorphic transforms thwarted advanced debuggers, which are key tools in the attacker's arsenal.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Geolocation of a Node on a Local Area Network
Geolocation is the process of identifying a node using only its Internet Protocol (IP) address. Locating a node on a LAN poses particular challenges due to the small scale of the problem and the increased significance of queuing delay. This study builds upon existing research in the area of geolocation and develops a heuristic tailored to the difficulties inherent in LANs called the LAN Time to Location Heuristic (LTTLH).LTTLH uses several polling nodes to measure latencies to end nodes, known locations within the LAN. The Euclidean distance algorithm is used to compare the results wit`h the latency of a target in order to determine the target's approximate location.Using only these latency measurements, LTTLH is able to determine which switch a target is connected to 95% of the time. Within certain constraints, this method is able to identify the target location 78% of the time. However, LANs are not always configured within the constraints necessary to geolocate a node. In order for LTTLH to be effective, a network must be configured consistently, with similar length cable runs available to nodes located in the same area. For best results, the network should also be partitioned, grouping nodes of similar proximity behind one switch.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Metamorphic Program Fragmentation as a Software Protection
Unauthorized reverse-engineering of programs and algorithms is a major problem for the software industry. Every program released to the public can be analyzed by any number of malicious reverse-engineers. These reversers search for security holes in the program to exploit or try to steal a competitor's vital algorithms. While it can take years and millions of dollars worth of research to develop new software, a determined reverser can reverse-engineer the program in a fraction of the time. To discourage reverse-engineering attempts, developers use a variety of software prote tions to obfuscate their programs. However, these protections are generally static, allowing reverse-engineers to eventually adapt to the protections, defeat them, and sometimes build automated tools to defeat them in the future. Metamorphic software protections add another layer of protection to traditional static obfuscation techniques. Metamorphic protections force a reverser to adjust their attacks as the protection changes. Program fragmentation combines two obfuscation techniques, outlining and obfuscated jump tables, into a new, metamorphic protection. Sections of code are removed from the main program flow and randomly placed throughout memory, reducing the programs locality. These fragments move while the program is running and are called using obfuscated jump tables, making program execution difficult to follow. This research assesses the performance overhead of a program fragmentation metamorphic engine and provides a qualitative analysis of its effectiveness against reverse-engineering techniques. Program fragmentation has very little associated overhead, with execution times for individual fragments of less than one microsecond. This low overhead allow a large numbers of fragments to be inserted into programs for protection. In addition, program fragmentation is an effective technique to complicate program of programs using two common disassembler/debugger tools. Thus, program fraThis work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Leveraging Traditional Battle Damage Assessment Procedures to Measure Eects From A Computer Network Attack
The art of warfare in cyberspace is evolving. Cyberspace, as the newest warfighting domain, requires the tools to synchronize effects from the cyber domain with those of the traditional land, maritime, space, and air domains. Cyberspace can compliment a commander's theater strategy supporting strategic, operational, and tactical objectives. To be effective, or provide an eect, commanders must have a mechanism that allows them to understand if a desired cyber effect was successful which requires a comprehensive cyber battle damage assessment capability. The purpose of this research is to analyze how traditional kinetic battle damage assessment is conducted and apply those concepts in cyberspace. This requires in-depth nodal analysis of the cyberspace target as well as what second and third order effects can be measured to determine if the cyber-attack was successful. This is necessary to measure the impact of the cyber-attack which can be used to increase or decrease the risk level to personnel operating in traditional domains.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Developing a Gualia-Based Multi-Agent Architecture for use in Malware Detection
Detecting network intruders and malicious software is a significant problem for network administrators and security experts. New threats are emerging at an increasing rate, and current signature and statistics-based techniques are not keeping pace. Intelligent systems that can adapt to new threats are needed to mitigate these new strains of malware as they are released. This research detects malware based on its qualia, or essence rather than its low-level implementation details. By looking for the underlying concepts that make a piece of software malicious, this research avoids the pitfalls of static solutions that focus on predefined bit sequence signatures or anomaly thresholds. 14. ABSTRACT This research develops a novel, hierarchical modeling method to represent a computing system and demonstrates the representation's effectiveness by modeling the Blaster worm. Using Latent Dirichlet Allocation and Support Vector Machines abstract concepts are automatically generated that can be used in the hierarchical model for malware detection. Finally, the research outlines a novel system that uses multiple levels of individual software agents that sharing contextual relationships and information across different levels of abstraction to make decisions. This qualia-based system provides a framework for developing intelligent classification and decision-making systems for a number of application areas.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Mitigating Reversing Vulnerabilities in .NET Applications Using Virtualized Software Protection
Protecting intellectual property contained in application source code and preventing tampering with application binaries are both major concerns for software developers. Simply by possessing an application binary, any user is able to attempt to reverse engineer valuable information or produce unanticipated execution results through tampering. As reverse engineering tools become more prevalent, and as the knowledge required to effectively use those tools decreases, applications come under increased attack from malicious users.Emerging development tools such as Microsoft's .NET Application Framework allow diverse source code composed of multiple programming languages to be integrated into a single application binary, but the potential for theft of intellectual property increases due to the metadata-rich construction of compiled .NET binaries. Microsoft's new Software Licensing and Protection Services (SLPS) application is designed to mitigate trivial reversing of .NET applications through the use of virtualization. This research investigates the viability of the SLPS software protection utility Code Protector as a means of mitigating the inherent vulnerabilities of .NET applications.The results of the research show that Code Protector does indeed protect compiled .NET applications from reversing attempts using commonly-available tools. While the performance of protected applications can suffer if the protections are applied to sections of the code that are used repeatedly, it is clear that low-use .NET application code can be protected by Code Protector with little performance impact.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Geographic Location of a Computer Node Examining a Time-to-Location Algorithm and Multiple Autonomous System Networks
To determine the location of a computer on the Internet without resorting to outside information or databases would greatly increase the security abilities of the US Air Force and the Department of Defense. The geographic location of a computer node has been demonstrated on an autonomous system (AS) network, or a network with one system administration focal point. The work shows that a similar technique will work on networks comprised of a multiple AS network. A time-to-location algorithm can successfully resolve a geographic location of a computer node using only latency information from known sites and mathematically calculating the Euclidean distance to those sites from an unknown location on a single AS network. The time-to-location algorithm on a multiple AS network successfully resolves a geographic location 71.4% of the time. Packets are subject to arbitrary delays in the network; and inconsistencies in latency measurements are discovered when attempting to use a time-to location algorithm on a multiple AS network. To improve accuracy in a multiple AS network, a time-to-location algorithm needs to calculate the link bandwidth when attempting to geographically locate a computer node on a multiple AS network.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Defining Our National Cyberspace Boundaries
In February 2009, the Obama Administration commissioned a 60-day review of the United States' cyber security. A near-term action recommended by the 60-day review was to prepare an updated national strategy to secure information and communications infrastructure.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
A Distributed Agent Architecture for a Computer Virus Immune System
Information superiority is identified as an Air Force core competency and is recognized as a key enabler for the success of future missions. Information protection and information assurance are vital components required for achieving superiority in the Infosphere, but these goals are threatened by the exponential birth rate of new computer viruses. The increased global interconnectivity that is empowering advanced information systems is also increasing the spread of malicious code and current anti-virus solutions are quickly becoming overwhelmed by the burden of capturing and classifying new viral stains. To overcome this problem, a distributed computer virus immune system (CVIS) based on biological strategies is developed. The biological immune system (BIS) offers a highly parallel defense-in-depth solution for detecting and eliminating foreign invaders. Each component of the BIS can be viewed as an autonomous agent. Only through the collective actions of this multi-agent system can non-self entities be detected and removed from the body. This research develops a model of the BIS and utilizes software agents to implement a CVIS. The system design validates that agents are an effective methodology for the construction of an artificial immune system largely because the biological basis for the architecture can be described as a system of collaborating agents. The distributed agent architecture provides support for detection and management capabilities that are unavailable in current anti-virus solutions. However, the slow performance of the Java and the Java Shared Data Toolkit implementation indicate the need for a compiled language solution and the importance of understanding the performance issues in agent system design. The detector agents are able to distinguish self from non-self within a probabilistic error rate that is tunable through the proper selection of system parameters. This research also shows that by fighting viruses using an immune system model, tThis work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Active Computer Network Defense
A Presidential Commission, several writers, and numerous network security incidents have called attention to the potential vulnerability of the Defense Information Infrastructure (DII) to attack. Transmission Control Protocol/Internet Protocol (TCP/IP) networks are inherently resistant to physical attack because of their decentralized structure, but are vulnerable to CNA. Passive defenses can be very effective in forestalling CNA, but their effectiveness relies on the capabilities and attentiveness of system administrators and users. There are still many measures that can be taken to improve the effectiveness of passive defenses, and one of these is active defense. It can be divided into three categories: preemptive attacks, counterattacks, and active deception. Preemptive attacks show little potential for affecting an adversary's CNA capabilities, since these are likely to remain isolated from the Internet until actually beginning their attack. Counterattacks show more promise, but only if begun early enough to permit all preparatory activities to be completed before the adversary's CNA is completed. Active deception also shows promise, but only as long as intrusions can be detected quickly and accurately, and adversaries redirected into "dummy" networks. Active and passive defense measures can work synergistically, to strengthen one another.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Formal Mitigation Strategies for the Insider Threat
The advancement of technology and reliance on information systems have fostered an environment of sharing and trust. The rapid growth and dependence on these systems, however, creates an increased risk associated with the insider threat. The insider threat is one of the most challenging problems facing the security of information systems because the insider already has capabilities within the system. Despite research efforts to prevent and detect insiders, organizations remain susceptible to this threat because of inadequate security policies and a willingness of some individuals to betray their organization. To investigate these issues, a formal security model and risk analysis framework are used to systematically analyze this threat and develop effective mitigation strategies. This research extends the Schematic Protection Model to produce the first comprehensive security model capable of analyzing the safety of a system against the insider threat. The model is used to determine vulnerabilities in security policies and system implementation. Through analysis, mitigation strategies that effectively reduce the threat are identified. Furthermore, an action-based taxonomy that expresses the insider threat through measurable and definable actions is presented.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
An Analysis of the Performance and Security of J2SDK 1.4 JSSE Implementation of SSL/TLS
The Java SSL/TLS package distributed with the J2SE 1.4.2 runtime is a Java implementation of the SSLv3 and TLSv1 protocols. Java-based web services and other systems deployed by the DoD will depend on this implementation to provide confidentiality, integrity, and authentication. Security and performance assessment of this implementation is critical given the proliferation of web services within DoD channels. This research assessed the performance of the J2SE 1.4.2 SSL and TLS implementations, paying particular attention to identifying performance limitations given a very secure configuration. The performance metrics of this research were CPU utilization, network bandwidth, memory, and maximum number of secure socket that could be created given various factors. This research determined an integral performance relationship between the memory heap size and the encryption algorithm used. By changing the default heap size setting of the Java Virtual Machine from 64 MB to 256 MB and using the symmetric encryption algorithm of AES256, a high performance, highly secure SSL configuration is achievable. This configuration can support over 2000 simultaneous secure sockets with various encrypted data sizes. This yields a 200 percent increase in performance over the default configuration, while providing the additional security of 256-bit symmetric key encryption to the application data.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Software Protection Against Reverse Engineering Tools
Advances in technology have led to the use of simple to use automated debugging tools which can be extremely helpful in troubleshooting problems in code. However, a malicious attacker can use these same tools. Securely designing software and keeping it secure has become extremely difficult. These same easy to use debuggers can be used to bypass security built into software. While the detection of an altered executable file is possible, it is not as easy to prevent alteration in the first place. One way to prevent alteration is through code obfuscation or hiding the true function of software so as to make alteration difficult. This research executes blocks of code in parallel from within a hidden function to obscure functionality.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Automated Analysis of ARM Binaries Using the Low-Level Virtual Machine Compiler Framework
Binary program analysis is a critical capability for offensive and defensive operations in Cyberspace. However, many current techniques are ineffective or time-consuming and few tools can analyze code compiled for embedded processors such as those used in network interface cards, control systems and mobile phones. This research designs and implements a binary analysis system, called the Architecture-independent Binary Abstracting Code Analysis System (ABACAS), which reverses the normal program compilation process, lifting binary machine code to the Low-Level Virtual Machine (LLVM) compiler's intermediate representation, thereby enabling existing security-related analyses to be applied to binary programs. The prototype targets ARM binaries but can be extended to support other architectures. Several programs are translated from ARM binaries and analyzed with existing analysis tools. Programs lifted from ARM binaries are an average of 3.73 times larger than the same programs compiled from a high-level language (HLL).This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Development of a Methodology for Customizing Insider Threat Auditing on a Linux Operating System
Insider threats can pose a great risk to organizations and by their very nature are difficult to protect against. Auditing and system logging are capabilities present in most operating systems and can be used for detecting insider activity. However, current auditing methods are typically applied in a haphazard way, if at all, and are not conducive to contributing to an effective insider threat security policy. This research develops a methodology for designing a customized auditing and logging template for a Linux operating system. An intent-based insider threat risk assessment methodology is presented to create use case scenarios tailored to address an organization's specific security needs and priorities. These organization specific use cases are verified to be detectable via the Linux auditing and logging subsystems and the results are analyzed to create an effective auditing rule set and logging configuration for the detectable use cases. Results indicate that creating a customized auditing rule set and system logging configuration to detect insider threat activity is possible.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Using Sequence Analysis to Perform Application-Based Anomaly Detection Within an Artificial Immune System Framework
The Air Force and other Department of Defense (DoD) computer systems typically rely on traditional signature-based network IDSs to detect various types of attempted or successful attacks. Signature-based methods are limited to detecting known attacks or similar variants; anomaly-based systems, by contrast, alert on behaviors previously unseen. The development of an effective anomaly-detecting, application-based IDS would increase the Air Force's ability to ward off attacks that are not detected by signature-based network IDSs, thus strengthening the layered defenses necessary to acquire and maintain safe, secure communication capability. This system follows the Artificial Immune System (AIS) framework, which relies on a sense of "self," or normal system states to determine potentially dangerous abnormalities ("non-self").This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Accelerating Malware Detection via a Graphics Processing Unit
Real-time malware analysis requires processing large amounts of data storage to look for suspicious files. This is a time consuming process that (requires a large amount of processing power) often affecting other applications running on a personal computer. This research investigates the viability of using Graphic Processing Units (GPUs), present in many personal computers, to distribute the workload normally precessed by the standard Central Processing Unit (CPU). Three experiments are conducted using an industry standard GPU, the NVIDIA GeForce 9500 GT card. Experimental results show that a GPU can calculate a MD5 signature hash and scan a database of malicious signatures 82% faster then a CPU for files between 0 - 96 kB. If the file size is increased to 97 - 192 kB the GPU is 85% faster than the CPU. This demonstrates that the GPU can provide a greater performance increase over a CPU.These results could help achieve faster anti-malware products, faster network intrusion detection system response times, and faster firewall applications.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
A Distributed Agent Architecture for a Computer Virus Immune System
Information superiority is identified as an Air Force core competency and is recognized as a key enabler for the success of future missions. Information protection and information assurance are vital components required for achieving superiority in the Infosphere, but these goals are threatened by the exponential birth rate of new computer viruses. The increased global interconnectivity that is empowering advanced information systems is also increasing the spread of malicious code and current anti-virus solutions are quickly becoming overwhelmed by the burden of capturing and classifying new viral stains. To overcome this problem, a distributed computer virus immune system (CVIS) based on biological strategies is developed. The biological immune system (BIS) offers a highly parallel defense-in-depth solution for detecting and eliminating foreign invaders. Each component of the BIS can be viewed as an autonomous agent. Only through the collective actions of this multi-agent system can non-self entities be detected and removed from the body. This research develops a model of the BIS and utilizes software agents to implement a CVIS. The system design validates that agents are an effective methodology for the construction of an artificial immune system largely because the biological basis for the architecture can be described as a system of collaborating agents. The distributed agent architecture provides support for detection and management capabilities that are unavailable in current anti-virus solutions. However, the slow performance of the Java and the Java Shared Data Toolkit implementation indicate the need for a compiled language solution and the importance of understanding the performance issues in agent system design. The detector agents are able to distinguish self from non-self within a probabilistic error rate that is tunable through the proper selection of system parameters. This research also shows that by fighting viruses using an immune system model, tThis work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Multicast Algorithms for Mobile Satellite Communication Networks
With the rise of mobile computing and an increasing need for ubiquitous high speed data connections, Internet-in-the-sky solutions are becoming increasingly viable. To reduce the network overhead of one-to-many transmissions, the multicast protocol has been devised. The implementation of multicast in these Low Earth Orbit (LEO) constellations is a critical component to achieving an omnipresent network environment. This research examines the system performance associated with two terrestrial-based multicast mobility solutions, Distance Vector Multicast Routing Protocol (DVMRP) with mobile IP and On Demand Multicast Routing Protocol (ODMRP). These protocols are implemented and simulated in a six plane, 66 satellite LEO constellation. Each protocol was subjected to various workload, to include changes in the number of source nodes and the amount of traffic generated by these nodes. Results from the simulation trials show the ODMRP protocol provided greater than 99% reliability in packet deliverability, at the cost of more than 8 bits of overhead for every 1 bit of data for multicast groups with multiple sources. In contrast, DVMRP proved robust and scalable, with data-to-overhead ratios increasing logarithmically with membership levels. DVMRP also had less than 70 ms of average end- to-end delay, providing stable transmissions at high loading and membership levels. Due to the fact that system performance metric values varied as a function of protocol, system design objectives must be considered when choosing a protocol for implementation.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
U.S. Policy Recommendation for Responding to Cyber Attacks Against the United States
U.S. Response Strategy for Cyber Attacks The United States has traditionally looked to its military to defend against all foreign enemies. International telecommunications and computer networks and globalization have now overcome the military's absolute ability to provide for that common defense. More than capable to respond to attacks in traditional war fighting domains of land, sea, air, and even space, the military will not be able to prevent all cyber attacks against U.S. interests. As a result, the U.S. should establish and announce the nature of its strategic responses to cyber attacks - including legal prosecution, diplomacy, or military action. Such a policy pronunciation will serve both as a deterrent to potential attackers and likely be established as a normative international standard. The outline for a response policy begins by addressing attacks based upon the prevailing security environment - peacetime or conflict. The U.S. should respond to peacetime attacks based on the target, reasonably expected damage, attack type, and source. Attacks likely to cause significant injuries and damage warrant a full spectrum of response options, while state-sponsored attacks would justify a forcible response when their type and target indicate destructive effects including widespread injury and damage.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Development of an Malicious Insider Composite Vulnerability Assessment Methodology
Trusted employees pose a major threat to information systems. Despite ad-vances in prevention, detection, and response techniques, the number of maliciousinsider incidents and their associated costs have yet to decline. There are very fewvulnerability and impact models capable of providing information owners with theability to comprehensively assess the effectiveness an organization's malicious insidermitigation strategies.This research uses a multi-dimensional approach: content analysis, attack treeframework, and an intent driven taxonomy model are used to develop a maliciousinsider Decision Support System (DSS) tool. The tool's output provides an assess-ment of a malicious insider's composite vulnerability levels based upon aggregatedvulnerability assessment and impact assessment levels.The DSS tool's utility and applicability is demonstrated using a notional ex-ample. This research gives information owners data to more appropriately allocatescarce security resources.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Microsoft Security Copilot
Become a Security Copilot expert and harness the power of AI to stay ahead in the evolving landscape of cyber defenseKey Features: - Explore the Security Copilot ecosystem and learn to design effective prompts, promptbooks, and custom plugins- Apply your knowledge with real-world case studies that demonstrate Security Copilot in action- Transform your security operations with next-generation defense capabilities and automation- Access interactive learning paths and GitHub-based examples to build practical expertiseBook Description: Be at the forefront of cybersecurity innovation with Microsoft Security Copilot, where advanced AI tackles the intricate challenges of digital defense. This book unveils Security Copilot's powerful features, from AI-powered analytics revolutionizing security operations to comprehensive orchestration tools streamlining incident response and threat management. Through real-world case studies and frontline stories, you'll learn how to truly harness AI advancements and unlock the full potential of Security Copilot within the expansive Microsoft ecosystem.Designed for security professionals navigating increasingly sophisticated cyber threats, this book equips you with the skills to accelerate threat detection and investigation, refine your security processes, and optimize cyber defense strategies.By the end of this book, you'll have become a Security Copilot ninja, confidently crafting effective prompts, designing promptbooks, creating custom plugins, and integrating logic apps for enhanced automation.What You Will Learn: - Navigate and use the complete range of features in Microsoft Security Copilot- Unlock the full potential of Security Copilot's diverse plugin ecosystem- Strengthen your prompt engineering skills by designing impactful and precise prompts- Create and optimize promptbooks to streamline security workflows- Build and customize plugins to meet your organization's specific needs- See how AI is transforming threat detection and response for the new era of cyber defense- Understand Security Copilot's pricing model for cost-effective solutionsWho this book is for: This book is for cybersecurity professionals at all experience levels, from beginners seeking foundational knowledge to seasoned experts looking to stay ahead of the curve. While readers with basic cybersecurity knowledge will find the content approachable, experienced practitioners will gain deep insights into advanced features and real-world applications.Table of Contents- Elevating Cyber Defense with Security Copilot- Unveiling Security Copilot through Its Embedded Experience- Navigating the Security Copilot Platform- Extending Security Copilot's Capabilities with Plugins- The Art of Prompt Engineering- The Power of Promptbooks in Security Copilot- Automation and Integration - The Next Frontier- Cyber Sleuthing with Security Copilot- Harnessing Security Copilot within the Microsoft Ecosystem- Frontline Tales with Security Copilot- The Pricing Model in Security Copilot
SEO Training 2017
SEO Training 2017: Search Engine Optimization for Small BusinessLearn practical SEO principles, tactics and concepts from Zhelinrentice L. Scott (the SEO Queen) to start generating the results and exposure you want from your small business marketing online.Are you struggling to: -Understand how search engines work?-Beat your competitors' rankings on Google, Bing or Yahoo?-Generate qualified traffic for your products, services or solutions? -Increase awareness and market share of what you offer online?-Monetize your website and leverage Google's Algorithms?If you answered YES to at least 3 of the questions above, then " SEO Training in 2017: Search Engine Optimization for Small Business" is the seo book for you. This unique practical guide is packed with powerful and effective exercises and activities for you to apply on your website to prove to yourself that what Zhe shares in her book - works.No fluff. No spin. No padding......Just real, practical, solid SEO information and advice that guarantees to help improve your rankings while mastering seo.In " SEO Training 2017: Search Engine Optimization and Marketing for Small Business" you will learn: -What a search is and what it is not-How to leverage News results to beat your competitor's rankings-How to leverage image results to get more exposure for your products online-5 quick steps to Master video marketing to improve your SEO results -Powerful and practical Geo targeting methods that can greatly help retail businesses-Why a PULL approach can be 520% more effective than a PUSH approach with SEO-Which keywords prospects are typing into google to find your competitors-The best keywords that can turn your website into a client magnet-Discover the power of long tail keywords and how they can improve conversions by 150% or more-How to track every single online promotion and campaign you do online-How to adapt for each SEO algorithm update to ensure your website is never penalised.-The power of anchor text and how to pull hungry pre-qualified buyers to your site-8 of the most powerful social media strategies that help buyers find and engage with you-Learn how to build your very best backlinks to boost your website's visibility. In " SEO Training in 2017: Search Engine Optimization for Small Business" you will also learn how to: -Save time and man hours with vital keyword research to find SEO opportunities -Improve efficiency and ROI by taking control of your own SEO marketing and not 3rd party suppliers -Generate more visibility online with 12 powerful on page tactics you can immediately use on your site-Improve Cash flow & Profitability reducing or eliminating unnecessary online marketing costs-Grow Your Business Online by running multiple SEO campaigns for multiple pages and websitesStill Not Sure? Then ask yourself: Are you happy with...-The current Return on Investment from your website? -your existing SEO rankings on the search engines? -the level of sales, and revenue that you're generating from your website? -Your current market share and findability locally, nationally or internationally online?If you answered NO to any of these, then start to grow your business online with this seo guide book NOW.Let's make 2017 your best year yet - online FREE BONUSReceive a FREE mystery bonus worth $250.00 with a complimentary voucher enclosed in the book.Buy this Book NOW & generate better Google SEO results before your online competitors do!
Energy and Throughput Optimization in NB-IoT Networks
This book focuses on enhancing energy efficiency and network throughput in Narrowband IoT (NB-IoT) and Narrowband Cognitive Radio IoT (NB-CR-IoT) networks. A three-hop assignment using a double auction model is proposed to extend the battery life of cell-edge NB-IoT users (CENUs), supported by the EENU-MWM algorithm for efficient user matching. As IoT device usage grows, challenges such as spectrum congestion and limited hardware for continuous sensing arise. To address this, optimal sensing parameters and relay nodes are introduced in NB-CR-IoT and NB-CR-IoMT networks, improving throughput and reducing transmission power. In healthcare, real-time patient monitoring using IoT devices demands efficient spectrum usage and energy harvesting. A grouping-based design allows energy collection based on proximity to access points, enhancing performance in networks like Wireless Body Area Networks. Devices transmit data when the spectrum is unoccupied by primary users, maximizing energy use and lifespan while minimizing interference. This comprehensive approach ensures sustainable and scalable IoT communication across various sectors.
Intelligent Systems
Neural networks and fuzzy logic are two key areas of artificial intelligence that replicate aspects of human cognition. Neural networks are inspired by the brain's structure, consisting of interconnected neurons that process and learn from data. They are capable of supervised, unsupervised, and reinforcement learning, and are used in applications like pattern recognition, optimization, and speech processing. Key models include the perceptron, Hopfield networks, radial basis function networks, and Kohonen's self-organizing maps. Learning mechanisms involve weight adjustments based on input patterns and feedback. Fuzzy logic, on the other hand, deals with reasoning under uncertainty using fuzzy sets, linguistic variables, and membership functions. It contrasts with traditional binary logic by allowing partial truth values. Fuzzy systems use inference rules and defuzzification techniques to make decisions and are widely applied in control systems such as anti-lock braking systems (ABS) and industrial automation. Both paradigms are also being implemented in hardware, including VLSI, for faster and more efficient processing.
Forest Health Monitoring Using AI and Remote Sensing
Scientific Study from the year 2025 in the subject Computer Sciences - Artificial Intelligence, language: English, abstract: Forest ecosystems play a pivotal role in global ecological stability, biodiversity conservation, and climate regulation. Monitoring forest health is critical to combating deforestation, disease outbreaks, and climate-induced stressors. This book presents the integration of Artificial Intelligence (AI) and Remote Sensing (RS) technologies as transformative tools for forest health monitoring. The book explores AI-based approaches, data fusion techniques, satellite and UAV applications, and real-world case studies, highlighting the potential for predictive, scalable, and real-time ecosystem management. Forests are indispensable components of Earth's ecological and climatic systems, serving as critical reservoirs of biodiversity, carbon sinks, and providers of ecosystem services. However, they are increasingly threatened by deforestation, climate-induced stressors, pest outbreaks, and anthropogenic disturbances. Traditional forest health monitoring methods-such as manual ground surveys and visual inspections-are labor-intensive, limited in spatial and temporal scope, and often insufficient for large-scale, dynamic assessments. Recent advancements in Artificial Intelligence (AI) and Remote Sensing (RS) technologies have enabled transformative approaches to monitoring forest health with improved scalability, accuracy, and temporal frequency. This book investigates the synergistic integration of AI and RS for comprehensive forest health monitoring. Key themes include the use of satellite and Unmanned Aerial Vehicle (UAV) platforms, spectral and thermal indices, machine learning and deep learning algorithms, and real-world applications in detecting deforestation, disease outbreaks, and drought stress. By leveraging multisource data fusion and AI-driven analytics, forest monitoring systems can achieve predictive, automated, and near real-time capabil
Multipath Minds
Video streaming has become a dominant form of digital content consumption, with user expectations for seamless, high-quality experiences steadily rising. This book presents a video streaming framework built on Multipath TCP (MPTCP) and Software Defined Networking (SDN) to enhance Quality of Experience (QoE). A key innovation is the use of a Genetic Algorithm (GA) to dynamically select optimal transmission paths based on bandwidth, latency, and link reliability, enabling adaptability in changing network conditions. Beyond path selection, the architecture incorporates service differentiation to prioritize video traffic and ensure fairness, along with durability enhancements to reduce playback interruptions. These combined mechanisms create an intelligent, adaptive system that delivers robust, high-quality video streaming across diverse network environments. The results show that this approach significantly improves user experience and meets service expectations across different user classes.
Emerging Technologies in Computing
This book LNICST 623 constitutes the refereed conference proceedings of the 7th International Conference on Emerging Technologies in Computing, iCETiC 2024, held in Essex, UK, during August 15-16, 2024. The 17 full papers were carefully reviewed and selected from 58 submissions. The proceedings focus on topics such as 1) AI, Expert Systems and Big Data Analytics 2) Cloud, IoT and Distributed Computing
Graph Machine Learning - Second Edition
Enhance your data science skills with this updated edition featuring new chapters on LLMs, temporal graphs, and updated examples with modern frameworks, including PyTorch Geometric, and DGLKey Features: - Master new graph ML techniques through updated examples using PyTorch Geometric and Deep Graph Library (DGL)- Explore GML frameworks and their main characteristics- Leverage LLMs for machine learning on graphs and learn about temporal learning- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Graph Machine Learning, Second Edition builds on its predecessor's success, delivering the latest tools and techniques for this rapidly evolving field. From basic graph theory to advanced ML models, you'll learn how to represent data as graphs to uncover hidden patterns and relationships, with practical implementation emphasized through refreshed code examples. This thoroughly updated edition replaces outdated examples with modern alternatives such as PyTorch and DGL, available on GitHub to support enhanced learning.The book also introduces new chapters on large language models and temporal graph learning, along with deeper insights into modern graph ML frameworks. Rather than serving as a step-by-step tutorial, it focuses on equipping you with fundamental problem-solving approaches that remain valuable even as specific technologies evolve. You will have a clear framework for assessing and selecting the right tools.By the end of this book, you'll gain both a solid understanding of graph machine learning theory and the skills to apply it to real-world challenges.What You Will Learn: - Implement graph ML algorithms with examples in StellarGraph, PyTorch Geometric, and DGL- Apply graph analysis to dynamic datasets using temporal graph ML- Enhance NLP and text analytics with graph-based techniques- Solve complex real-world problems with graph machine learning- Build and scale graph-powered ML applications effectively- Deploy and scale your application seamlesslyWho this book is for: This book is for data scientists, ML professionals, and graph specialists looking to deepen their knowledge of graph data analysis or expand their machine learning toolkit. Prior knowledge of Python and basic machine learning principles is recommended.Table of Contents- Getting Started with Graphs- Graph Machine Learning- Neural Networks and Graphs- Unsupervised Graph Learning- Supervised Graph Learning- Solving Common Graph-Based Machine Learning Problems- Social Network Graphs- Text Analytics and Natural Language Processing Using Graphs- Graph Analysis for Credit Card Transactions- Building a Data-Driven Graph-Powered Application- Temporal Graph Machine Learning- GraphML and LLMs- Novel Trends on Graphs
Information Assurance and the Defense in Depth
This study investigates the Army's ability to provide information assurance for the NIPRNET. Information assurance includes those actions that protect and defend information and information systems by ensuring availability, integrity, authentication, confidentiality, and non-repudiation. The study examines how the military's defense in depth policy provides information assurance with a system of layered network defenses. The study also examines current practices used in the corporate world to provide information assurance. With the cooperation of the Human Firewall Council, the study compared the performance of four organizations according to standards developed for the Council's Security Management Index. The four participants in the study included: an Army Directorate of Information Management, a government agency, a university, and a web development company. The study also compared the performance of the four participants with the aggregate results obtained by the Human Firewall Council. The study concluded the defense in depth policy does grant the Army an advantage over other organizations for providing information assurance. However, the Army would benefit from incorporating some of the common practices of private corporations in their overall information assurance plans.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Privacy Enhancing Techniques
This book provides a comprehensive exploration of advanced privacy-preserving methods, ensuring secure data processing across various domains. This book also delves into key technologies such as homomorphic encryption, secure multiparty computation, and differential privacy, discussing their theoretical foundations, implementation challenges, and real-world applications in cloud computing, blockchain, artificial intelligence, and healthcare. With the rapid growth of digital technologies, data privacy has become a critical concern for individuals, businesses, and governments. The chapters cover fundamental cryptographic principles and extend into applications in privacy-preserving data mining, secure machine learning, and privacy-aware social networks. By combining state-of-the-art techniques with practical case studies, this book serves as a valuable resource for those navigating the evolving landscape of data privacy and security. Designed to bridge theory and practice, this book is tailored for researchers and graduate students focused on this field. Industry professionals seeking an in-depth understanding of privacy-enhancing technologies will also want to purchase this book.
