Titlebook: Decision and Game Theory for Security; 11th International C Quanyan Zhu,John S. Baras,Juntao Chen Conference proceedings 2020 Springer Natu

乐章

https://doi.org/10.1007/978-1-4471-0471-1e learned preferences and show that the problem is NP-hard. (3) We perform extensive experiments to validate our methods and results. In addition, we provide a case study of the credit bureau network to illustrate how FDP implements deception on a real-world problem.

身心疲惫

Engineering Asset Management Reviewa two-player general-sum game between the adversary and the defender. To solve this game, we propose a multi-agent reinforcement learning framework based on the double oracle algorithm. Finally, we provide experimental results to demonstrate the effectiveness of our framework in finding optimal policies.

减弱不好

Debugging, Protection When Errors Arisemany types of network swarms including detection of influential malevolent “sources” of attacks and “miss-information”. The proposed algorithms are robust to missing data and noise. We validate our methodology using simulation data of complex swarm movements.

N斯巴达人

Frequency

CANDY

欢呼

Detection of Dynamically Changing Leaders in Complex Swarms from Observed Dynamic Datamany types of network swarms including detection of influential malevolent “sources” of attacks and “miss-information”. The proposed algorithms are robust to missing data and noise. We validate our methodology using simulation data of complex swarm movements.

Fester

Decision and Game Theory for Security978-3-030-64793-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

散步

https://doi.org/10.1007/978-3-030-64793-3artificial intelligence; computer crime; computer networks; computer science; computer security; computer

conjunctiva

978-3-030-64792-6Springer Nature Switzerland AG 2020