Abstract:

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

摘要：

无线传感器网络极易遭受各种安全威胁，基于博弈论的入侵检测方法能有效平衡网络的检测率和能耗，但是基于完全理性假设的传统博弈模型存在不足。因此，针对不同的攻击方式，引入演化博弈理论，从攻防双方的有限理性出发，构建入侵检测攻防演化博弈模型，然后利用复制动态方程分析了攻防双方策略的演化趋势，提出了最优防御策略选取算法。仿真实验表明了所提模型的合理性和算法的有效性，与其他策略相比，所提防御策略更贴合实际应用场景，在保证检测率的前提下，减少了资源消耗，延长了网络生存时间。

关键词: 无线传感器网络, 入侵检测, 演化博弈, 复制动态方程