
Decision and Game Theory for Security
13th International Conference, GameSec 2022, Pittsburgh, PA, USA, October 26-28, 2022, Proceedings
Springer (Publisher)
Published on 9. February 2023
Book
Paperback/Softback
XII, 319 pages
978-3-031-26368-2 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
11 s/w Abbildungen, 79 farbige Abbildungen
XII, 319 p. 90 illus., 79 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 19 mm
Weight
505 gr
ISBN-13
978-3-031-26368-2 (9783031263682)
DOI
10.1007/978-3-031-26369-9
Schweitzer Classification
Other editions
Additional editions

Fei Fang | Haifeng Xu | Yezekael Hayel
Decision and Game Theory for Security
13th International Conference, GameSec 2022, Pittsburgh, PA, USA, October 26-28, 2022, Proceedings
E-Book
03/2023
Springer
€80.24
Available for download
Content
Deception in Security.- The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender under Uncertainty? .-Casino Rationale: Countering attacker deception in zero-sum Stackelberg security games of bounded rationality.- Cyber Deception against Zero-day Attacks: A Game Theoretic Approach.- Planning and Learning in Dynamic Enviroments.- On Almost-Sure Intention Deception Planning that Exploits Imperfect Observers.- Using Deception in Markov Game to Understand Adversarial Behaviors through a Capture-The-Flag Environment.- Robust Moving Target Defense against Unknown Attacks: A Meta-Reinforcement Learning Approach.- Security Games.- Synchronization in Security Games.- Multiple Oracle Algorithm to Solve Continuous Games.- Optimal Pursuit of Surveilling Agents near a High Value Target.- Adversarial Learning and Optimization.- On Poisoned Wardrop Equilibrium in Congestion Games.- Reward Delay Attacks on Deep Reinforcement Learning.- An Exploration of Poisoning Attacks on Data-based Decision Making.- Novel Applications and new Game Models.- A Network Centrality Game for Epidemic Control.- Optimizing Intrusion Detection Systems Placement against Network Virus Spreading using a Partially Observable Stochastic Minimum-Threat Path Game.- Voting Games to Model Protocol Stability and Security of Proof-of-Work Cryptocurrencies.