Decision and Game Theory for Security: 13th International Conference, GameSec 2022, Pittsburgh, PA, USA, October 26-28, 2022, Proceedings

The book summarizes the refereed proceedings of the 13th International Conference on Decision and Game Theory for Security, GameSec 2022, which included 15 full papers on deception in security, planning and learning in dynamic environments, security games, adversarial learning and optimization, and novel applications and new game models.

Format: Paperback / softback
Length: 319 pages
Publication date: 09 February 2023
Publisher: Springer International Publishing AG

The 13th International Conference on Decision and Game Theory for Security, GameSec 2022, was held in Pittsburgh, PA, USA, in October 2022. The conference featured 15 full papers, carefully reviewed and selected from 39 submissions. The papers covered various themes, including deception in security, planning and learning in dynamic environments, security games, adversarial learning and optimization, and novel applications and new game models.

Deception in security: This theme explored the use of deception techniques in security systems, such as fake data, misinformation, and social engineering, to gain unauthorized access or disrupt operations. The papers discussed the effectiveness of these techniques, the challenges in detecting and countering them, and the potential risks and benefits of employing deception in security.

Planning and learning in dynamic environments: This theme focused on developing planning and learning algorithms for dynamic environments, such as real-time systems, multi-agent systems, and complex networks. The papers discussed the use of reinforcement learning, evolutionary algorithms, and other machine learning techniques to solve complex problems and make informed decisions in dynamic environments.

Security games: This theme explored the use of game-theoretic models to analyze and design security systems. The papers discussed the design of secure games, the analysis of game-theoretic strategies, and the application of game-theoretic models to security problems such as intrusion detection, authentication, and access control.

Adversarial learning and optimization: This theme explored the use of adversarial learning to improve the performance of security systems. The papers discussed the use of adversarial examples, gradient descent methods, and other optimization techniques to train machine learning models to detect and defend against attacks.

Novel applications and new game models: This theme explored the use of decision and game theory in novel applications and new game models. The papers discussed the use of decision and game theory in areas such as healthcare, finance, transportation, and social welfare, as well as the development of new game models for complex systems.

Overall, GameSec 2022 provided a platform for researchers and practitioners to exchange ideas, share research findings, and discuss the latest developments in decision and game theory for security. The conference highlighted the importance of interdisciplinary collaboration and the need for innovative approaches to address the complex security challenges of the modern world.

Weight: 510g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031263682
Edition number: 1st ed. 2023