ZigBee网络容忍恶意攻击的安全定位算法  

Malicious Attack-resistant Secure Localization Algorithm for ZigBee Network

作　　者：郁滨[1] 刘子清 YU Bin;LIU Ziqing(PLA Information Engineering University, Zhengzhou 450001, China)

机构地区：[1]信息工程大学,郑州450001

出　　处：《电子与信息学报》2018年第7期1676-1683,共8页Journal of Electronics & Information Technology

基　　金：信息保障技术重点实验室开放基金(KJ-15-104)~~

摘　　要：该文提出一种基于进化思想的容忍恶意攻击安全定位算法(ELAMP)。依据最大似然估计概率模型,结合接收信号强度(RSS)标准差与距离的分布关系,建立ZigBee网络安全定位模型。进一步,设计进化算法对模型进行求解,并分析了算法的收敛性和时间复杂度。实验结果表明,当恶意节点比例不超过50%的情况下,所提算法的定位精度明显优于已有定位算法。A malicious attack-resistant secure localization algorithm Evolutionary Location Algorithm with the Maximum Probability value （ELAMP） based on evolutionism is proposed. According to the maximum likelihood estimation probability model and the distribution of Received Signal Strength （RSS） standard deviation and the distance, a secure location model of ZigBee network is established. Furthermore, the evolutionary algorithm is designed to solve the model, and the convergence and the time complexity of the algorithm is analyzed. Experimental results show that the proposed algorithm has better positioning accuracy than the existing positioning algorithm when the proportion of malicious nodes is not more than 50%.

关 键 词：安全定位 ZigBee 进化算法 接收信号强度 恶意攻击 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]