基于车辆行驶模型的Sybil攻击检测算法  

Sybil Attack Detection Based on Vehicle Driving Pattern Based

作　　者：陶敏[1] 关胜利 崔鹏飞 TAO Min;GUAN Shengli;CUI Pengfei(Guangzhou Bureau,China South Grid EHV Power Transmission Company,Guangzhou 510003,China;Guangzhou Goaland Energy Conservation Tech.Co.,Ltd.,Guangzhou 510663,China)

机构地区：[1]中国南方电网超高压输电公司广州局,广州510003 [2]广州高澜节能技术股份有限公司,广州510663

出　　处：《实验室研究与探索》2021年第11期71-74,110,共5页Research and Exploration In Laboratory

摘　　要：Sybil攻击通过在网络内伪造多个身份,扰乱网络内节点间的通信,影响了车联网(Vehicular Ad hoc Networks,VANET)性能。为此,提出基于车辆行驶模型的Sybil攻击检测(VehicleDriving Pattern based Sybil Attack Detection,VDP-SAD)算法。VDP-SAD算法依据Beacon消息为每辆车构建行驶模型矩阵(Driving Pattern Matrix,DPM),再计算DPM的特征值,利用特征值评估车辆行驶模型的相似性,检测Sybil攻击节点。仿真结果表明,VDP-SAD算法具有较高的检测率。Sybil attack forges false identities in the network to disrupt compromise the communication amongthe network nodes,and it affects the performance of Vehicular Ad hoc Networks(VANETs).Therefore,vehicle driving pattern based sybil attack detection(VDP-SAD)is proposed in this paper.In the VDP-SAD,driving pattern matrix(DPM)isconstructed for each vehicle based on the beaconing messages they communicate.Then,the eigenvalues of DPM are calculated,and the similarity of vehicle driving model is evaluated by eigenvalues,so as to detect Sybil attack nodes.Simulation results show that the proposed VDP-SAD algorithm has a high detection rate.

关 键 词：车联网 SYBIL攻击 车辆行驶模型 行驶模型矩阵 特征值 

分 类 号：TPT393[自动化与计算机技术]