华中师范大学学报（自然科学版）2018，Vol.52Issue(1)：22-26,41,6.DOI:10.19603/j.cnki.1000-1190.2018.01.005
分簇WSNs中基于安全数据融合的恶意行为检测方法
A detection method for malicious nodes based on secure data aggregation in clustered wireless sensor networks
摘要
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.关键词
无线传感器网络/恶意节点/安全/数据融合Key words
wireless sensor network/malicious node/security/data aggregation分类
信息技术与安全科学引用本文复制引用
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):22-26,41,6.基金项目
湖北省自然科学基金项目(2015CFB405),湖北省教育厅科学研究项目(Q20153003) （2015CFB405）
国家“十二五”科技支撑计划课题项目(2015BAK27B02). （2015BAK27B02）
