Decision and Game Theory for Security

1. Front Matter

   Pages i-xii

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2. Deception in Security

   1. Front Matter

      Pages 1-1

      PDF

   2. The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender Under Uncertainty?

      • Thanh Hong Nguyen, Amulya Yadav

      Pages 3-22

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

      • Ryan Gabrys, Mark Bilinski, Justin Mauger, Daniel Silva, Sunny Fugate

      Pages 23-43

   4. Cyber Deception Against Zero-Day Attacks: A Game Theoretic Approach

      • Md Abu Sayed, Ahmed H. Anwar, Christopher Kiekintveld, Branislav Bosansky, Charles Kamhoua

      Pages 44-63

3. Planning and Learning in Dynamic Environments

   1. Front Matter

      Pages 65-65

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   2. On Almost-Sure Intention Deception Planning that Exploits Imperfect Observers

      • Jie Fu

      Pages 67-86

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

      • Siddhant Bhambri, Purv Chauhan, Frederico Araujo, Adam Doupé, Subbarao Kambhampati

      Pages 87-106

   4. Robust Moving Target Defense Against Unknown Attacks: A Meta-reinforcement Learning Approach

      • Henger Li, Zizhan Zheng

      Pages 107-126

4. Security Games

   1. Front Matter

      Pages 127-127

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   2. Synchronization in Security Games

      • Stefan Rass, Sandra König

      Pages 129-148

   3. Multiple Oracle Algorithm to Solve Continuous Games

      • Tomáš Kroupa, Tomáš Votroubek

      Pages 149-167

   4. Optimal Pursuit of Surveilling Agents Near a High Value Target

      • Shivam Bajaj, Shaunak D. Bopardikar

      Pages 168-187

5. Adversarial Learning and Optimization

   1. Front Matter

      Pages 189-189

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   2. On Poisoned Wardrop Equilibrium in Congestion Games

      • Yunian Pan, Quanyan Zhu

      Pages 191-211

   3. Reward Delay Attacks on Deep Reinforcement Learning

      • Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher Gill, Ning Zhang

      Pages 212-230

   4. An Exploration of Poisoning Attacks on Data-Based Decision Making

      • Sarah Eve Kinsey, Wong Wai Tuck, Arunesh Sinha, Thanh H. Nguyen

      Pages 231-252

6. Novel Applications and New Game Models

   1. Front Matter

      Pages 253-253

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   2. A Network Centrality Game for Epidemic Control

      • Olivier Tsemogne, Willie Kouam, Ahmed H. Anwar, Yezekael Hayel, Charles Kamhoua, Gabriel Deugoué

      Pages 255-273

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

      • Olivier Tsemogne, Yezekael Hayel, Charles Kamhoua, Gabriel Deugoué

      Pages 274-296

This book constitutes the refereed proceedings of the 13th International Conference on Decision and Game Theory for Security, GameSec 2022, held in October 2022 in Pittsburgh, PA, USA. The 15 full papers presented were carefully reviewed and selected from 39 submissions. The papers are grouped thematically on: deception in security; planning and learning in dynamic environments; security games; adversarial learning and optimization; novel applications and new game models.

• artificial intelligence
• computer crime
• computer networks
• computer science
• computer security
• computer systems
• computer vision
• cryptography
• data security
• dos attacks
• education
• engineering
• game theory
• internet
• learning
• mathematics
• nash equilibrium
• network protocols
• network security
• signal processing

• Carnegie Mellon University, Pittsburgh, USA

  Fei Fang

• University of Chicago, Chicago, USA

  Haifeng Xu

• Université d'Avignon, Avignon, France

  Yezekael Hayel

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