Decision and Game Theory for Security

Chapter 1 The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender Under Uncertainty?

Chapter 2 Casino Rationale: Countering Attacker Deception in Zero-Sum Stackelberg Security Games of Bounded Rationality

Chapter 3 Cyber Deception Against Zero-Day Attacks: A Game Theoretic Approach

Chapter 4 On Almost-Sure Intention Deception Planning that Exploits Imperfect Observers

Chapter 5 Using Deception in Markov Game to Understand Adversarial Behaviors Through a Capture-The-Flag Environment

Chapter 6 Robust Moving Target Defense Against Unknown Attacks: A Meta-reinforcement Learning Approach

Chapter 7 Synchronization in Security Games

Chapter 8 Multiple Oracle Algorithm to Solve Continuous Games

Chapter 9 Optimal Pursuit of Surveilling Agents Near a High Value Target

Chapter 10 On Poisoned Wardrop Equilibrium in Congestion Games

Chapter 11 Reward Delay Attacks on Deep Reinforcement Learning

Chapter 12 An Exploration of Poisoning Attacks on Data-Based Decision Making

Chapter 13 A Network Centrality Game for Epidemic Control

Chapter 14 Optimizing Intrusion Detection Systems Placement Against Network Virus Spreading Using a Partially Observable Stochastic Minimum-Threat Path Game

Chapter 15 Voting Games to Model Protocol Stability and Security of Proof-of-Work Cryptocurrencies