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Adaptive Autonomous Secure Cyber Systems

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Cover of 'Adaptive Autonomous Secure Cyber Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Reference Architecture of an Autonomous Agent for Cyber Defense of Complex Military Systems
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    Chapter 2 Defending Against Machine Learning Based Inference Attacks via Adversarial Examples: Opportunities and Challenges
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    Chapter 3 Exploring Adversarial Artificial Intelligence for Autonomous Adaptive Cyber Defense
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    Chapter 4 Can Cyber Operations Be Made Autonomous? An Answer from the Situational Awareness Viewpoint
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    Chapter 5 A Framework for Studying Autonomic Computing Models in Cyber Deception
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    Chapter 6 Autonomous Security Mechanisms for High-Performance Computing Systems: Review and Analysis
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    Chapter 7 Automated Cyber Risk Mitigation: Making Informed Cost-Effective Decisions
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    Chapter 8 Plan Interdiction Games
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    Chapter 9 Game Theoretic Cyber Deception to Foil Adversarial Network Reconnaissance
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    Chapter 10 Strategic Learning for Active, Adaptive, and Autonomous Cyber Defense
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    Chapter 11 Online Learning Methods for Controlling Dynamic Cyber Deception Strategies
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    Chapter 12 Phishing URL Detection with Lexical Features and Blacklisted Domains
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    Chapter 13 An Empirical Study of Secret Security Patch in Open Source Software
Attention for Chapter 10: Strategic Learning for Active, Adaptive, and Autonomous Cyber Defense
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