NDLI: Improving learning and adaptation in security games by exploiting information asymmetry

Content Provider	IEEE Xplore Digital Library
Author	Xiaofan He Huaiyu Dai Peng Ning
Copyright Year	2015
Description	Author affiliation: Dept. of CSC, North Carolina State Univ., Raleigh, NC, USA (Peng Ning) \|\| Dept. of ECE, North Carolina State Univ., Raleigh, NC, USA (Xiaofan He; Huaiyu Dai)
Abstract	With the advancement of modern technologies, the security battle between a legitimate system (LS) and an adversary is becoming increasingly sophisticated, involving complex interactions in unknown dynamic environments. Stochastic game (SG), together with multi-agent reinforcement learning (MARL), offers a systematic framework for the study of information warfare in current and emerging cyber-physical systems. In practical security games, each player usually has only incomplete information about the opponent, which induces information asymmetry. This work exploits information asymmetry from a new angle, considering how to exploit local information unknown to the opponent to the player's advantage. Two new MARL algorithms, termed minimax-PDS and WoLF-PDS, are proposed, which enable the LS to learn and adapt faster in dynamic environments by exploiting its private local information. The proposed algorithms are provably convergent and rational, respectively. Also, numerical results are presented to show their effectiveness through two concrete anti-jamming examples.
Starting Page	1787
Ending Page	1795
File Size	327237
Page Count	9
File Format	PDF
ISBN	9781479983810
DOI	10.1109/INFOCOM.2015.7218560
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Jamming Heuristic algorithms Games Security Sensors Conferences Computers
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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