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带网络攻击识别机制的传感器网络分布式滤波算法
引用本文:胡传昊,杜丽双,张亚.带网络攻击识别机制的传感器网络分布式滤波算法[J].南京气象学院学报,2018,10(4):436-442.
作者姓名:胡传昊  杜丽双  张亚
作者单位:东南大学 自动化学院, 南京 210096;复杂工程系统测量与控制教育部重点实验室, 南京, 210096,东南大学 自动化学院, 南京 210096;复杂工程系统测量与控制教育部重点实验室, 南京, 210096,东南大学 自动化学院, 南京 210096;复杂工程系统测量与控制教育部重点实验室, 南京, 210096
基金项目:国家自然科学基金(61473081);江苏省六大人才高峰项目(XYDXX-005)
摘    要:研究了面向网络攻击的无线传感器网络的分布式目标估计问题.由于测量范围有限,网络中只有部分传感器能测量到目标,而且节点受到随机的攻击从而使得测量值被注入虚假信息.在此背景下,本文提出了基于攻击检测识别策略的改进分布式卡尔曼滤波算法.在该算法中,节点首先基于设计给出的攻击识别阈值来判断其是否受到攻击,生成识别因子;然后以估计误差协方差的迹最小为信息融合原则来设计一致性卡尔曼滤波算法,对处于监测域内的运动目标进行分布式状态估计.同时,分析了算法的收敛性,明确给出了网络估计误差均方有界的随机攻击概率的充分条件.最后用数值仿真验证了算法的有效性和优越性.

关 键 词:网络安全  一致性卡尔曼滤波  网络攻击  最小迹原则  无线传感器网络
收稿时间:2018/6/4 0:00:00

Distributed filtering algorithm based on attack recognition scheme for sensor networks
HU Chuanhao,DU Lishuang and ZHANG Ya.Distributed filtering algorithm based on attack recognition scheme for sensor networks[J].Journal of Nanjing Institute of Meteorology,2018,10(4):436-442.
Authors:HU Chuanhao  DU Lishuang and ZHANG Ya
Affiliation:School of Automation, Southeast University, Nanjing 210096;Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing 210096,School of Automation, Southeast University, Nanjing 210096;Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing 210096 and School of Automation, Southeast University, Nanjing 210096;Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing 210096
Abstract:The distributed target estimation problem in a wireless sensor network (WSN) which is under network attack is studied in this paper.Due to the limited measurement range,only some sensors in WSN can measure the target,and at the same time,the nodes are randomly attacked so that the measurement value is injected into false information.An improved consensus Kalman filter algorithm based on the attack detection and recognition strategy is proposed.In this algorithm,firstly,the node judges whether it is attacked based on the attack recognition threshold given in this paper.Secondly,a consensus Kalman filtering algorithm is designed based on the minimum trace fusion principle.Finally,the convergence of the algorithm is analyzed,and a sufficient condition of the attack probability for the boundedness of the mean-square estimation error in WSN is given.Besides,numerical simulations are given to verify the effectiveness and superiority of the algorithm.
Keywords:network security  consensus Kalman filtering  network attack  minimum trace principle  wireless sensor networks
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