Cantitate/Preț
Produs
Total produse
Vezi coșul
Decision and Game Theory for Security: 12th International Conference, GameSec 2021, Virtual Event, October 25–27, 2021, Proceedings de Branislav Bošanský

Decision and Game Theory for Security: 12th International Conference, GameSec 2021, Virtual Event, October 25–27, 2021, Proceedings: Lecture Notes in Computer Science, cartea 13061

Editat de Branislav Bošanský, Cleotilde Gonzalez, Stefan Rass, Arunesh Sinha
en Limba Engleză Paperback – 31 oct 2021
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.
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 50810 lei

Preț vechi: 63512 lei
-20% Nou

Puncte Express: 762
Preț estimativ în valută:
9726€ • 10568$ • 8175£

Carte tipărită la comandă

Livrare economică 21 aprilie-05 mai

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030903695
ISBN-10: 3030903699
Pagini: 379
Ilustrații: XIII, 379 p. 88 illus., 76 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.55 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Security and Cryptology

Locul publicării:Cham, Switzerland

Cuprins

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.