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This book introduces recent research results for cyber deception, a promising field for proactive cyber defense. The beauty and challenge of cyber deception is that it is an interdisciplinary research field requiring study from techniques and strategies to human aspects. This book covers a wide variety of cyber deception research, including game theory, artificial intelligence, cognitive science, and deception-related technology. The research introduced in this book identifies the scientific challenges, highlights the complexity and inspires the future research of cyber deception.Researchers working in cybersecurity and advanced-level computer science students focused on cybersecurity will find this book useful as a reference. This book also targets professionals working in cybersecurity.
Diversifying Deception: Game-Theoretic Models for Two-Sided Deception and Initial Human Studies
Human-Subject Experiments on Risk-Based Cyber Camouflage Games
Adaptive Cyberdefense with Deception: A Human–AI Cognitive Approach
Cognitive Modeling for Personalized, Adaptive Signaling for Cyber Deception
Deceptive Signaling: Understanding Human Behavior Against Signaling Algorithms
Optimizing Honey Traffic Using Game Theory and Adversarial Learning
Mee: Adaptive Honeyfile System for Insider Attacker Detection
HoneyPLC: A Next-Generation Honeypot for Industrial Control Systems
Using Amnesia to Detect Credential Database Breaches
Deceiving ML-Based Friend-or-Foe Identification for Executables