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Decision and Game Theory for Security

15th International Conference, GameSec 2024, New York City, NY, USA, October 16–18, 2024, Proceedings

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Arunesh Sinha

    1. Rutgers University, New Brunswick, USA

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  2. Jie Fu

    1. University of Florida, Gainesville, USA

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  3. Quanyan Zhu

    1. New York University, Brooklyn, USA

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  4. Tao Zhang

    1. Washington University in St. Louis, St. Louis, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14908)

Included in the following conference series:

Conference proceedings info: GameSec 2024.

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About this book

This book constitutes the refereed proceedings of the 15th International Conference on Decision and Game Theory for Security, GameSec 2024, which took place in New York City, USA, in October 2024. 

The 15 full papers included in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections as follows: systems security; economics; equilibrium and control; cyber deception; network and privacy; adversarial machine learning; and cyber-physical systems.

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Keywords

Table of contents (15 papers)

  1. Front Matter

    Pages i-xviii
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  2. Systems Security

    1. Front Matter

      Pages 1-1
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    2. Intrusion Tolerance as a Two-Level Game

      • Kim Hammar, Rolf Stadler
      Pages 3-23

    3. MEGA-PT: A Meta-game Framework for Agile Penetration Testing

      • Yunfei Ge, Quanyan Zhu
      Pages 24-44

    4. The Price of Pessimism for Automated Defense

      • Erick Galinkin, Emmanouil Pountourakis, Spiros Mancoridis
      Pages 45-64

  3. Economics

    1. Front Matter

      Pages 65-65
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    2. Ransom Roulette: Learning the Games Behind Cyber Extortion

      • Eckhard Pflügel, Stefan Rass
      Pages 67-86

    3. How Much Should I Double Spend My Bitcoin? Game Theory of Quantum Mining

      • Zhen Li, Qi Liao
      Pages 87-106

  4. Equilibrium and Control

    1. Front Matter

      Pages 107-107
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    2. Fast Complete Algorithm for Multiplayer Nash Equilibrium

      • Sam Ganzfried
      Pages 109-123

    3. Contested Logistics: A Game-Theoretic Approach

      • Jakub Černý, Chun Kai Ling, Darshan Chakrabarti, Jingwen Zhang, Gabriele Farina, Christian Kroer et al.
      Pages 124-146

  5. Cyber Deception

    1. Front Matter

      Pages 147-147
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    2. On Countering Ransomware Attacks Using Strategic Deception

      • Roshan Lal Neupane, Bishnu Bhusal, Kiran Neupane, Preyea Regmi, Tam Dinh, Lilliana Marrero et al.
      Pages 149-176

    3. A Decentralized Shotgun Approach for Team Deception

      • Caleb Probine, Mustafa O. Karabag, Ufuk Topcu
      Pages 177-197

  6. Network and Privacy

    1. Front Matter

      Pages 199-199
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    2. Extended Horizons: Multi-hop Awareness in Network Games

      • Raman Ebrahimi, Parinaz Naghizadeh
      Pages 201-219

    3. FlipDyn in Graphs: Resource Takeover Games in Graphs

      • Sandeep Banik, Shaunak D. Bopardikar, Naira Hovakimyan
      Pages 220-239

    4. Effective Anonymous Messaging: The Role of Altruism

      • Marcell Frank, Balázs Pejó, Gergely Biczók
      Pages 240-259

  7. Adversarial Machine Learning

    1. Front Matter

      Pages 261-261
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    2. Towards a Game-Theoretic Understanding of Explanation-Based Membership Inference Attacks

      • Kavita Kumari, Murtuza Jadliwala, Sumit Kumar Jha, Anindya Maiti
      Pages 263-283
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Other volumes

  1. Decision and Game Theory for Security

Editors and Affiliations

  • Rutgers University, New Brunswick, USA

    Arunesh Sinha

  • University of Florida, Gainesville, USA

    Jie Fu

  • New York University, Brooklyn, USA

    Quanyan Zhu

  • Washington University in St. Louis, St. Louis, USA

    Tao Zhang

Bibliographic Information

  • Book Title: Decision and Game Theory for Security

  • Book Subtitle: 15th International Conference, GameSec 2024, New York City, NY, USA, October 16–18, 2024, Proceedings

  • Editors: Arunesh Sinha, Jie Fu, Quanyan Zhu, Tao Zhang

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-74835-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025

  • Softcover ISBN: 978-3-031-74834-9Published: 11 October 2024

  • eBook ISBN: 978-3-031-74835-6Published: 10 October 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVIII, 328

  • Number of Illustrations: 18 b/w illustrations, 86 illustrations in colour

  • Topics: Artificial Intelligence

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