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  • 1
    UID:
    gbv_1775866084
    Format: 1 Online-Ressource(XIII, 379 p. 88 illus., 76 illus. in color.)
    Edition: 1st ed. 2021.
    ISBN: 9783030903701
    Series Statement: Security and Cryptology 13061
    Content: Computing Nash Equilibria in Multiplayer DAG-Structured Stochastic Games with Persistent Imperfect Information -- Two Algorithms for Computing Exact and Approximate Nash Equilibria in Bimatrix Games -- Separable Network Games With Compact Strategy Sets -- Countering Attacker Data Manipulation in Security Games -- Scalable Optimal Classifiers for Adversarial Settings under Uncertainty -- Learning Generative Deception Strategies in Combinatorial Masking Games -- Network Games with Strategic Machine Learning -- No Time To Lie: Bounds on the Learning Rate of a Defender for Inferring Attacker Target Preferences -- When Should You Defend Your Classifier? -- A Game-theoretical Analysis of Countermeasures against Adversarial Examples -- A Mechanism Design Approach to Solve Ransomware Dilemmas -- Winning the Ransomware Lottery -- Combating Ransomware in Internet of Things: A Games-in-Games Approach for Cross-Layer Cyber Defense and Security Investment.
    Content: This book constitutes the refereed proceedings of the 12th International Conference on Decision and Game Theory for Security, GameSec 2021,held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 20 full papers presented were carefully reviewed and selected from 37 submissions. The papers focus on Theoretical Foundations in Equilibrium Computation; Machine Learning and Game Theory; Ransomware; Cyber-Physical Systems Security; Innovations in Attacks and Defenses.
    Additional Edition: ISBN 9783030903695
    Additional Edition: ISBN 9783030903718
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030903695
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030903718
    Language: English
    URL: Cover
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