Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (13): 116-123.DOI: 10.3778/j.issn.1002-8331.2004-0250

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Research on Selection of Optimal Defense Strategy Based on Evolutionary Game

GONG Junhui, HU Xiaohui, DU Yongwen   

  1. School of Electronics & Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
  • Online:2021-07-01 Published:2021-06-29



  1. 兰州交通大学 电子与信息工程学院,兰州 730070


Wireless Sensor Network(WSN) is vulnerable to various security threats. The intrusion detection method based on game theory can effectively balance the detection rate and energy consumption of the network, but the traditional game model based on the assumption of complete rationality has shortcomings. Therefore, the evolutionary game theory is introduced to construct intrusion detection game model for different attack methods based on the limited rationality of the attack and defense. Then, the evolutionary trend of attack and defense strategies is analyzed by using the replication dynamic equation. Finally, the algorithm for selecting the optimal strategy is proposed. The simulation results show that the proposed model is reasonable and the algorithm is effective. Compared with other strategies, the proposed defense strategy is closer to the actual network, which reduces the resource consumption and prolongs the network lifetime on the premise of ensuring the detection rate.

Key words: Wireless Sensor Network(WSN), intrusion detection, evolutionary game, replication dynamic equation



关键词: 无线传感器网络, 入侵检测, 演化博弈, 复制动态方程