Abstract：In wireless sensor networks， malicious nodes will tamper or falsify the data to affect the final fusion results. To solve this problem， an effective method for detecting malicious nodes based on secure data aggregation in clustered wireless sensor networks is proposed， which is able to quantify the uncertainty of node’s monitoring data and judge whether the node is credible or not. Besides， the specific malicious node’s detection and processing method is introduced. Simulation results show that the model is capable of detecting malicious nodes effectively， and achieving high detection rate and low false detection rate.
万润泽,雷建军,王海军. 分簇WSNs中基于安全数据融合的恶意行为检测方法[J]. 华中师范大学学报(自然科学版), 2018, 52(1): 22-26.
WAN Runze,LEI Jianjun,WANG Haijun. A detection method for malicious nodes based on secure data aggregation in clustered wireless sensor networks. journal1, 2018, 52(1): 22-26.
2018, Vol. 52 
