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

机译:对抗认知无线电网络中响应式和非响应式干扰的防御:一种进化博弈论方法

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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.
机译:过去已经使用基于Stackelberg博弈论的抗干扰系统对认知无线电网络中的干扰博弈的事件序列进行建模。但是,这种方法无法支持改进应对响应和非响应攻击的策略。所提出的抗干扰系统会根据信道可用性和干扰类型来选择合适的策略。当信道可用性较高时,使用隐藏的马尔可夫过程对认知无线电与干扰器之间的交互进行建模,但是当信道可用性较低时,则使用进化博弈论(EGT)。此外,在响应式干扰器的情况下,采用了分散策略来欺骗干扰器,但是在处理无响应式干扰器的混合策略时可以达到Nash平衡。仿真结果表明,与现有的Stackelberg游戏方法相比,所提出的基于EGT的抗干扰系统提高了系统吞吐量,同时将误码率降低了至少2%。

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