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Cognitive radio (CR) promises to be a solution for the spectrum underutilization problems. However, security issuespertaining to cognitive radio technology are still an understudied topic. One of the prevailing such issues areintelligent radio frequency (RF) jamming attacks, where adversaries are able to exploit on-the-fly reconfigurabilitypotentials and learning mechanisms of cognitive radios in order to devise and deploy advanced jamming tactics. Inthis paper, we use a game-theoretical approach to analyze jamming/anti-jamming behavior between cognitive radiosystems. A non-zero-sum game with incomplete information on an opponent’s strategy and payoff is modelled as anextension of Markov decision process (MDP). Learning algorithms based on adaptive payoff play and fictitious play areconsidered. A combination of frequency hopping and power alteration is deployed as an anti-jamming scheme. Areal-life software-defined radio (SDR) platform is used in order to perform measurements useful for quantifying thejamming impacts, as well as to infer relevant hardware-related properties. Results of these measurements are thenused as parameters for the modelled jamming/anti-jamming game and are compared to the Nash equilibrium of thegame. Simulation results indicate, among other, the benefit provided to the jammer when it is employed with thespectrum sensing algorithm in proactive frequency hopping and power alteration schemes

Intelligent cognitive radio jamming - a game-theoretical approach