基于MDP的无线传感网络Sybil攻击检测方法研究

Research on Sybil Attack Detection Method in Wireless Sensor Network Based on MDP

为了提高无线传感网络中对Sybil攻击的检测精准度,提出基于MDP的无线传感网络Sybil攻击检测方法。采用近似梯度下降算法结合小波去噪法对无线传感网络信号展开去噪处理,进而利用马尔科夫决策过程(MDP)表示去噪后的无线传感网络信号,并对其展开跟踪,通过RSSI算法对Sybil攻击展开定位,实现无线传感网络中Sybil攻击检测。实验结果表明,所提方法的检测率为99.9%,误检率为0.06%,检测时间为0.4 s,该方法的检测率高、误检率低、检测效率高,可有效提高无线传感网络中对Sybil攻击的检测精准度。

In order to improve the detection accuracy of Sybil attacks in wireless sensor networks,a method of detecting Sybil attacks in wireless sensor networks based on MDP is proposed.An approximate gradient descent algorithm combined with wavelet denoising is used to denoise wireless sensor network signals,and then Markov Decision Process(MDP)is used to represent the de-noised wireless sensor network signal and track it.The RSSI algorithm is used to locate Sybil attacks,so as to detect Sybil attacks in the wireless sensor network.The experimental results show that the detection rate of the proposed method is 99.9%,the false detection rate is 0.06%,and the detection time is 0.4 s.This method has high detection rate,low false detection rate,and high detection efficiency,which can effectively improve the detection accuracy of Sybil attacks in wireless sensor networks.