Decision and Game Theory for Security 10th International Conference, GameSec 2019, Stockholm, Sweden, October 30 - November 1, 2019, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Alpcan, Tansu (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Vorobeychik, Yevgeniy (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Baras, John S. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Dán, György (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Security and Cryptology ; 11836
• Θέματα: Computer security.; Artificial intelligence.; Computer communication systems.; Computers.; Law and legislation.; Application software.; Systems and Data Security.; Artificial Intelligence.; Computer Communication Networks.; Legal Aspects of Computing.; Information Systems Applications (incl. Internet).

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.T...

Πίνακας περιεχομένων:

• 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.