Decision and Game Theory for Security
10th International Conference, GameSec 2019, Stockholm, Sweden, October 30 - November 1, 2019, Proceedings
Published on 23. October 2019
XI, 584 pages
978-3-030-32430-8 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
XI, 584 p. 220 illus., 109 illus. in color.
File size
34,46 MB
ISBN-13
978-3-030-32430-8 (9783030324308)
DOI
10.1007/978-3-030-32430-8
Schweitzer Classification
Other editions
Additional editions
Tansu Alpcan | Yevgeniy Vorobeychik | John S. Baras
Decision and Game Theory for Security
10th International Conference, GameSec 2019, Stockholm, Sweden, October 30 - November 1, 2019, Proceedings
Book
10/2019
Springer
€53.49
Shipment within 7-9 days
Content
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.
