(mobo import Concept___Event_For_Confident-migrated) |
(mobo import Concept___Events-migrated) |
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|wikicfpId=133363 | |wikicfpId=133363 | ||
|City=Prague | |City=Prague | ||
| − | |Country=Online | + | |Country=Country:Online |
| − | |||
|Abstract deadline=2021/08/09 | |Abstract deadline=2021/08/09 | ||
|Paper deadline=2021/08/16 | |Paper deadline=2021/08/16 | ||
| Line 23: | Line 22: | ||
|Start Date=2021/10/25 | |Start Date=2021/10/25 | ||
|End Date=2021/10/27 | |End Date=2021/10/27 | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=online | ||
}} | }} | ||
The conference proceedings will be published by Springer as part of the LNCS series. | The conference proceedings will be published by Springer as part of the LNCS series. | ||
Revision as of 14:12, 6 September 2022
The conference proceedings will be published by Springer as part of the LNCS series.
Conference Topics include (but are not restricted to):
GameSec solicits research papers, which report original results and have neither been published nor submitted for publication elsewhere, on the following and other closely related topics:
- 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
- Modeling and analysis of deception and antagonistic intrusion of information flow within a game-theoretic framework
