Decision and Game Theory for Security: Lecture Notes in Computer Science, cartea 11836
Editat de Tansu Alpcan, Yevgeniy Vorobeychik, John S. Baras, György Dánen 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: 596
Ilustrații: XI, 584 p. 220 illus., 109 illus. in color.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.89 kg
Ediția:1st ed. 2019
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 303032429X
Pagini: 596
Ilustrații: XI, 584 p. 220 illus., 109 illus. in color.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.89 kg
Ediția:1st ed. 2019
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
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.