VANETS中基于矩阵计算的轻量化位置验证方案  

Matrix-base lightweight detection location verification in VANETS

作　　者：徐伟[1] 李重[2] 

机构地区：[1]绍兴职业技术学院信息工程学院,浙江绍兴312000 [2]浙江理工大学数学科学系,杭州310018

出　　处：《激光杂志》2014年第12期120-123,共4页Laser Journal

基　　金：浙江省高职高专院校特色专业建设项目(TZZ09078)

摘　　要：车载网VANETs的许多应用都±赖于车辆的位置信息,而开放式的VANETs网络中,其应用易遭受各类攻击,如虫洞攻击、消息的纂改,包括车辆位置信息。针对如何验证所获得车辆位置信息的真实性,提出了一种基于矩阵计算的位置轻量化验证方案。首先假定存在真实位置,宣称位置,观察位置三种信息,并建立系统模型;其次构造关于车辆位置信息的矩阵,由宣称位置信息构造观察矩阵,根据通信半径等固定物理量构造估计矩阵,由此计算出差异矩阵,再建立虚假信息评测量度构造权重矩阵,设置阈值剔除非恶意信息的干扰得到不一致性矩阵,以此判定车辆宣称的位置的真假与否;最后实验分析了虚警率、节点密度和检测率之间的关系,实验结果表明:当虚警率为45%,节点密度为40,检测率能达到98%。Various applications in VANETs （ Vehicular ad hoc networks） depend on the position information. However, in open VANETs, applications in VANETs are vulnerable to various attacks, such as wormhole attack, The message of the alteration. Therefore, localization information of vehicles is not credible and need to be verified before they are used in location-based applications. An algorithm to detect abnormal locations, which explore the inconsisten_cies between vehicles’ claimed locations and their neighborhood observations is proposed. There are three kinds of lo_cation information in system model, which are true position, claiming position and observation position. Information matrix of vehicle position is from claiming position information. Estimation matrix is calculated by communication radi_us and other physical quantities. Estimate matrix compared with claim matrix concludes the difference matrix. At last weight matrix is set with false information evaluation weight, matrix constructed metrics. Anti-consistent matrix is con_structed by the way of setting threshold to eliminate the malicious interference information. Whether claim matrix is correct or not is judge by threshold. Finally, experimental results show that detection rate can reach 98,when false a_larm rate is 45 and node density is 40 .

关 键 词：位置 位置验证 一致性 矩阵 

分 类 号：TN911[电子电信—通信与信息系统]