Security Coalition Method Based on Game Theory
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摘要: 针对缺乏有效联盟收益分配机制,导致发送端拒绝协作,同时发送信号,造成接收端信号重叠,该文提出一种基于博弈的安全联盟组网方法。首先,将协作博弈机制中的收益分摊机制引入安全联盟组网自适应形成方法,建立发送端联盟组网模型。然后,为实现联盟方式组网,基于博弈方法将联盟组网相比非联盟时增加的总安全速率作为可转移的收益函数,平均分配给组网内各个发送端;之后,发送端遍历所有可能形成的联盟组网,得到均摊收益最大的联盟组网方式;最后,发送端自适应形成该联盟组网,无需发送信号或相同需求下窃听信道条件最坏的发送端发信号,其余所有发送端通过发送人工噪声进行协作。仿真分析验证了该方法的公平性和有效性,当发送端功率等于20 mW时,高斯信道下的网络平均安全速率相比初始状态提高1.8 。Abstract: For the problems of reduced secrecy rate and energy according to noncooperation of selfish relay, this paper presents a security coalition method based on the game theory. Firstly, this paper introduces a benefit-sharing mechanism of cooperative game for the adaptive security coalition method, and models the transmitter coalition. And then this paper makes the increased part of total network secrecy rate compared with the initial as the transferable benefit, and allocates it to all transmitters in the coalition. After that, the transmitters iterate through the average utility under all coalitions, and find the largest benefit coalition. Finally, this coalition of transmitters is formed autonomously, the transmitter which is badly in need of sending signal or the transmitter with the worst eavesdropping channel conditions under the same need sends signal, the rest cooperate by sending artificial noise. Simulations and analyses show the fairness and effectiveness of this method, when sending power is 20 mW, the average network secrecy rate under the Gaussian channel compared with the initial stated is improved by 1.8 .
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Key words:
- Wireless communication /
- Secrecy rate /
- Cooperative game /
- Artificial noise /
- Coalition group
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