Decision and Game Theory for Security [electronic resource] : 12th International Conference, GameSec 2021, Virtual Event, October 25–27, 2021, Proceedings /

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.

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.