Defence against responsive and non‐responsive jamming attack in cognitive radio networks: an evolutionary game theoretical approach

Abstract

An anti-jamming system based on Stackelberg game theory has been used in past to model the sequence of events of a jamming game in cognitive radio network. However, this approach fails to support the improvement of strategy in counteracting responsive and non-responsive attack. The proposed anti-jamming system selects a suitable strategy based on channel availability and jammer type. When channel availability is high, the interaction between cognitive radio and jammer is modelled using hidden Markov process, but when it is low, evolutionary game theory (EGT) is used. Furthermore, in the case of responsive jammer, a distraction strategy is incorporated to deceive the jammer, but Nash equilibrium is attained while dealing with mixed strategy of non-responsive jammer. The simulation results show that the proposed EGT-based anti-jamming system increases the throughput of system while decreasing the probability of bit error at least by 2% compared to the existing Stackelberg game approach.