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Decision and Game Theory for Security: 10th International Conference, GameSec 2019, Stockholm, Sweden, October 30 – November 1, 2019, Proceedings de Tansu Alpcan

Decision and Game Theory for Security: 10th International Conference, GameSec 2019, Stockholm, Sweden, October 30 – November 1, 2019, Proceedings: Lecture Notes in Computer Science, cartea 11836

Editat de Tansu Alpcan, Yevgeniy Vorobeychik, John S. Baras, György Dán
en Limba Engleză Paperback – 10 oct 2019
This book constitutes the refereed proceedings of the 10th International Conference on Decision and Game Theory for Security, GameSec 2019,held in Stockholm, Sweden, in October 2019.
The 21 full papers presented together with 11 short papers were carefully reviewed and selected from 47 submissions.The papers focus on   protection of heterogeneous, large-scale and dynamic cyber-physical systems as well as managing security risks faced by critical infrastructures through rigorous and practically-relevant analytical methods.
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Specificații

ISBN-13: 9783030324292
ISBN-10: 303032429X
Pagini: 584
Ilustrații: XI, 584 p. 220 illus., 109 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.83 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Security and Cryptology

Locul publicării:Cham, Switzerland

Cuprins

Game theory, control, and mechanism design for security and privacy.- Decision making for cybersecurity and security requirements engineering.-  Security and privacy for the Internet-of-Things, cyber-physical systems, cloud computing, resilient control systems, and critical infrastructure.- Pricing, economic incentives, security investments, and cyber insurance for dependable and secure systems.- Risk assessment and security risk management.- Security and privacy of wireless and mobile communications, including user location privacy.- Socio-technological and behavioral approaches to security.- Empirical and experimental studies with game, control, or optimization theory-based analysis for security and privacy.- Adversarial Machine Learning and the role of AI in system security.