Game theoretic study of protecting MIMO transmissions against smart attacks
Game theoretic study of protecting MIMO transmissions against smart attacks
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DOI：
10.1109/icc.2017.7996461
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发表时间：
2017-05
期刊：
影响因子：
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通讯作者：
Yanda Li;Liang Xiao;H. Dai;H. Poor
中科院分区：
文献类型：
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作者：
Yanda Li;Liang Xiao;H. Dai;H. Poor
多输入多输出(MIMO)系统受到智能攻击者的威胁，他们使用软件定义的无线电等可编程无线电设备来执行多种类型的攻击，如窃听、干扰和欺骗。本文将存在智能攻击的MIMO传输描述为一个非合作博弈，其中MIMO发射机选择其发射功率电平，而智能攻击者相应地确定其攻击类型。推导了这种安全的MIMO传输博弈的纳什均衡，并给出了保证其存在的条件，揭示了天线数目和攻击者发动每种攻击的成本的影响。提出了一种基于Q学习的MIMO发射机功率控制策略，用于在不知道攻击和无线信道模型的情况下，抑制动态版本MIMO传输游戏中智能攻击者的攻击动机。仿真结果表明，与基准策略相比，该方案能够降低智能攻击者的攻击率，提高系统的保密能力。
Multiple-input multiple-output (MIMO) systems are threatened by smart attackers, who apply programmable radio devices such as software defined radios to perform multiple types of attacks such as eavesdropping, jamming and spoofing. In this paper, MIMO transmission in the presence of smart attacks is formulated as a noncooperative game, in which a MIMO transmitter chooses its transmit power level and a smart attacker determines its attack type accordingly. A Nash equilibrium of this secure MIMO transmission game is derived and conditions assuring its existence are provided to reveal the impact of the number of antennas and the costs of the attacker to launch each type of attack. A power control strategy based on Q-learning is proposed for the MIMO transmitter to suppress the attack motivation of smart attackers in a dynamic version of MIMO transmission game without being aware of the attack and the radio channel model. Simulation results show that our proposed scheme can reduce the attack rate of smart attackers and improve the secrecy capacity compared with the benchmark strategy.