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.
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.
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.
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.
Defensive Cyber Battle Damage Assessment Through Attack Methodology Modeling
Due to the growing sophisticated capabilities of advanced persistent cyber threats, it is necessary to understand and accurately assess cyber attack damage to digital assets. This thesis proposes a Defensive Cyber Battle Damage Assessment (DCBDA) process which utilizes the comprehensive understanding of all possible cyber attack methodologies captured in a Cyber Attack Methodology Exhaustive List (CAMEL). This research proposes CAMEL to provide detailed knowledge of cyber attack actions, methods, capabilities, forensic evidence and evidence collection methods. This product is modeled as an attack tree called the Cyber Attack Methodology Attack Tree (CAMAT). The proposed DCBDA process uses CAMAT to analyze potential attack scenarios used by an attacker. These scenarios are utilized to identify the associated digital forensic methods in CAMEL to correctly collect and analyze the damage from a cyber attack. The results from the experimentation of the proposed DCBDA process show the process can be successfully applied to cyber attack scenarios to correctly assess the extent, method and damage caused by a cyber attack.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.
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.
To Click or Not to Click
Today's Air Force networks are under frequent attack. One of the most pernicious threats is a sophisticated phishing attack that can lead to complete network penetration. Once an adversary has gained network entry, they are in a position to exfiltrate sensitive data or pursue even more active forms of sabotage. However, there are promising technical advances proposed in current research can help mitigate the threat. Also, user education will continue to play an important role to increase effectiveness in AF defenses. This paper reviews and recommends the most promising suggestions for adaptation and application in today's AF networks.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.
Toward Cyber Omniscience
It is widely accepted that cyberspace is a vulnerable and highly contested environment. The United Sates has and will face threats to its national security in the realm. As a result, the Office of the Secretary of Defense (OSD) has decided to consider new and evolving theories of deterrence to address the cyber domain. This OSD-sponsored paper examines a new cyberspace deterrence option know as cyber omniscience. Set in the year 2035, this paper will begin the process of developing the theory of cyber omniscience as a DoD deterrent. At the heart of cyber deterrence lays this question: "As technology rapidly advances in the contested cyber domain, can hostile individuals be deterred from employing highly advanced technologies through cyberspace that threaten national survival?" To answer this question, this paper will investigate a number of issues with regard to cyberspace deterrence: anticipated life (societal norms) and technology in 2035, hostile individual threats, what cyber omniscience entails, privacy issues, and policy recommendations. This multi-pronged approach will serve as the catalyst to a better understanding of the future of cyberspace, the threats, and deterrence.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.
Emerging Roles of Combat Communication Squadrons in Cyber Warfare As Related to Computer Network Attack, Defense And Exploitation
The warfighter has become increasingly dependent of the cyber domain and the computer network that all the deployed forces use to plan and execute the Commander's intent and accomplish the objectives for mission success. The full spectrum of cyber dominance must include the need for computer network attack, defense and exploitation (CNA/D/E) at the tactical level. The combat communications squadrons (CCS) are the Air Force's deployable communication force structure for the joint and coalition war ghter during combat and Humanitarian Relief Operations. With the growing intensity to defend the warfighter's mission that is dependent on the network, instead of defending the entire Air Force GIG, the CCS's core competencies must continue to move from network assurance to mission assurance in a tactical communication environment. In order to provide this complete capability for the war ghter, the combat communication squadrons should reshape their mission to include the cyber operations focus of CNA/D/E. The CCS mission should strive to balance bare-base operations with the CNA/D/E capabilities and evolve combat communication squadrons into a total cyber force tactical unit. Therefore, it only makes sense that mission assurance at the lowest possible denominator must be achieved and maintained. This research intends to show how an Air Force CCS can provide those complete cyber capabilities needed for a deployed force commander to obtain full mission assurance in the cyber domain through a new CCS team structure and time-phased implementation plan.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 Dynamically Configurable Log-Based Distributed Security Event Detection Methodology Using Simple Event Correlator
This research effort identifies attributes of distributed event correlation which make it desirable for security event detection, and evaluates those attributes in a comparison with a centralized alternative. Event correlation is an effective means of detecting complex situations encountered in information technology environments. Centralized, database-driven log event correlation is more commonly implemented, but suffers from flaws such as high network bandwidth utilization, significant requirements for system resources, and difficulty in detecting certain suspicious behaviors. This analysis measures the value in distributed event correlation by considering network bandwidth utilization, detection capability and database query efficiency, as well as through the implementation of remote configuration scripts and correlation of multiple log sources. These capabilities produce a configuration which allows a 99% reduction of network syslog traffic in the low-accountability case, and a significant decrease in database execution time through context-addition in the high-accountability case.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 Botnet Vulnerabilities
Botnets are a significant threat to computer networks and data stored on networked computers. The ability to inhibit communication between servers controlling the botnet and individual hosts would be an effective countermeasure. The objective of this research was to find vulnerabilities in Unreal IRCd that could be used to shut down the server. Analysis revealed that Unreal IRCd is a very mature and stable IRC server and no significant vulnerabilities were found. While this research does not eliminate the possibility that a critical vulnerability is present in the Unreal IRCd software, none were identified during this effort.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.
Routing of Time-Sensitive Data in Mobile Ad Hoc Networks
Mobile networks take the communication concept one step further than wireless networks. In these networks, all nodes in the network are assumed to be mobile. These networks are also called mobile ad hoc networks, due to their mobility and random configurations. Ad hoc networking is a relatively new concept; consequently, many researches are in progress focusing on each level of the network stack of ad hoc networks. This research focuses on the routing of time-sensitive data in ad hoc networks. A routing protocol named Ad hoc On-demand Distance Vectoring (AODV), which has been developed by Internet Engineering Task Force (IETF) for ad hoc networks, has been studied. Taking this protocol as a point of departure, a new routing protocol named as Real Time Routing Protocol (RTRP) was developed while considering the characteristics of time-sensitive data. These two routing protocols have been modeled using OPNET, a discrete-event network simulation tool, and simulations were run to compare the performances of these protocols.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.
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.
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.
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.
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.
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.
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.
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.
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.
Establishing the Human Firewall
Hackers frequently use social engineering attacks to gain a foothold into a target network. This type of attack is a tremendous challenge to defend against, as the weakness lies in the human users, not in the technology. Thus far, methods for dealing with this threat have included establishing better security policies and educating users on the threat that exists. Existing techniques aren't working as evidenced by the fact that auditing agencies consider it a given that will be able to gain access via social engineering. The purpose of this research is to propose a better method of reducing an individual's vulnerability to social engineering attacks.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.
Passwords
The purpose of this research was to see how individuals use and remember passwords. Specifically, this thesis sought to answer research questions addressing if organizational parameters are influencing behaviors associated with password choice and to what effect. Volunteers answered the research questions via a web-survey. The research identified the need for an evaluation of how organizations limit password choice by setting parameters for individuals.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.
Scalable and Fault Tolerant Group Key Management
To address the group key management problem for modern networks this research proposes a lightweight group key management protocol with a gossip-based dissemination routine. Experiments show that by slightly increasing workload for the key update mechanism, this protocol is superior to currently available tree-based protocols with respect to reliability and fault tolerance, while remaining scalable to large groups. In addition, it eliminates the need for logical key hierarchy while preserving an overall reduction in rekey messages to rekey a group. The protocol provides a simple "pull" mechanism to ensure perfect rekeys in spite of the primary rekey mechanism's probabilistic guarantees, without burdening key distribution facilities. Benefits of this protocol are quantified versus tree-based dissemination in Java simulations on networks exhibiting various node failure rates.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.
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.
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.
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.
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.
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.
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.
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!
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
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.
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.
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.
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
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.
Cyber Warfare
China's INEW doctrine combining network attack with electronic warfare supports the use of cyber warfare in future conflict. The IW militia unit organization provides each Chinese military region commander with unique network attack, exploitation, and defense capabilities. IW unit training focuses on improving network attack skills during military exercises. The integration of the IW militia units with commercial technology companies provides infrastructure and technical support enabling the units to conduct operations. The IW units gather intelligence on an adversary's networks identifying critical nodes and security weaknesses. Armed with this intelligence, these units are capable of conducting network attack to disrupt or destroy the identified critical nodes of an enemy's C4ISR assets allowing China to use military force in a local war. In an effort to regain its former status, China pursues the strategic goal of reunification of its claimed sovereign territories and lands using economic influence as the primary means but will resort to military force if necessary. Recent cyber activities attributed to China suggest that network exploitation is currently underway and providing military, political, and economic information to the CCP. Domestically and internationally, China views Taiwan and the United States respectively as the major threats to the CCP.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.
Computer Security for ASSIST
This thesis examines the multilevel security problem of simultaneous processing of compartmented and collateral data at the Intelligence Data Handling Site, Forces Command Intelligence Group, Fort Bragg, North Carolina. Existing security controls are examined, and a list of software controls are discussed to reduce the risk of penetration, whether accidental or deliberate. Software controls are described in four major areas: access controls, input/output controls, residual controls, and audit trail controls. The security kernel is discussed as the heart of all software controls. A method of verifying the software is discussed and a procedure is explained for certifying the ASSIST system as possessing an acceptable security risk. Recommendations are described to reduce the risk of penetration and certify the system as secure through software controls.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 Warfare
China's INEW doctrine combining network attack with electronic warfare supports the use of cyber warfare in future conflict. The IW militia unit organization provides each Chinese military region commander with unique network attack, exploitation, and defense capabilities. IW unit training focuses on improving network attack skills during military exercises. The integration of the IW militia units with commercial technology companies provides infrastructure and technical support enabling the units to conduct operations. The IW units gather intelligence on an adversary's networks identifying critical nodes and security weaknesses. Armed with this intelligence, these units are capable of conducting network attack to disrupt or destroy the identified critical nodes of an enemy's C4ISR assets allowing China to use military force in a local war. In an effort to regain its former status, China pursues the strategic goal of reunification of its claimed sovereign territories and lands using economic influence as the primary means but will resort to military force if necessary. Recent cyber activities attributed to China suggest that network exploitation is currently underway and providing military, political, and economic information to the CCP. Domestically and internationally, China views Taiwan and the United States respectively as the major threats to the CCP.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.
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.
Cybermad
"Cyberspace has grown in importance to the United States (US), as well as the rest of the word. As such, the impact of cyberspace attacks have increased with time. Threats can be categorized as state or non-state actors. This research paper looks at state actors. It asks the question, should the US adopt a mutually assured destruction (MAD) doctrine for cyberspace? In order to answer this question, this research used a parallel historical case study. The case study was the US's nuclear MAD doctrine of the 1960s.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.
