Decision and Game Theory for Security

13th International Conference, GameSec 2022, Pittsburgh, PA, USA, October 26–28, 2022, Proceedings

AvFei Fang,Haifeng Xu

Häftad, Engelska, 2023

Del 13727 i serien Lecture Notes in Computer Science

860 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2023-02-09
Mått:155 x 235 x 20 mm
Vikt:514 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:319
Förlag:Springer International Publishing AG
ISBN:9783031263682

Utforska kategorier

Nätverk och kommunikation inom Data och IT
Artificiell intelligens inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

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.