On-the-fly reconfigurability capabilities and learning prospectives of Cognitive Radios inherently bring a set of new security issues. One of them is intelligent radio frequency jamming, where adversary is able to deploy advanced jamming strategies to degrade performance of the communication system. In this paper, we observe the jamming/antijamming problem from a game-theoretical perspective. A game with incomplete information on opponent’s payoff and strategy is modelled as a Markov Decision Process (MDP). A variant of fictitious play learning algorithm is deployed to find optimal strategies in terms of combination of channel hopping and power alteration anti-jamming schemes.
A fictitious play-based game-theoretical approach to alleviating jamming attacks for Cognitive radios"
DABCEVIC, KRESIMIR;MARCENARO, LUCIO;REGAZZONI, CARLO
2014
Abstract
On-the-fly reconfigurability capabilities and learning prospectives of Cognitive Radios inherently bring a set of new security issues. One of them is intelligent radio frequency jamming, where adversary is able to deploy advanced jamming strategies to degrade performance of the communication system. In this paper, we observe the jamming/antijamming problem from a game-theoretical perspective. A game with incomplete information on opponent’s payoff and strategy is modelled as a Markov Decision Process (MDP). A variant of fictitious play learning algorithm is deployed to find optimal strategies in terms of combination of channel hopping and power alteration anti-jamming schemes.
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