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计算机工程

• 移动互联与通信技术 • 上一篇    下一篇

基于Greenshield模型的VANET异常节点检测机制

李立 1,李晓东 1,任刚 2   

  1. (1.郑州成功财经学院 信息工程系,郑州 451200; 2.中国科学院软件研究所,北京 100190)
  • 收稿日期:2016-12-15 出版日期:2018-02-15 发布日期:2018-02-15
  • 作者简介:李立(1983—),男,讲师、硕士,主研方向为车辆自组网;李晓东(通信作者),副教授、硕士;任刚,讲师、硕士。
  • 基金资助:
    国家创新基金(435012C26244104350)。

Abnormal Node Detection Mechanism for VANET Based on Greenshield Model

LI Li  1,LI Xiaodong  1,REN Gang  2   

  1. (1.Department of Information Engineering,Zhengzhou Chenggong University of Finance and Economics,Zhengzhou 451200,China; 2.Institute of Software,Chinese Academy of Sciences,Beijing 100190,China)
  • Received:2016-12-15 Online:2018-02-15 Published:2018-02-15

摘要: 面向车辆自组网的安全通信问题,提出一种基于Greenshield模型的异常节点检测机制。结合车辆自组网的特点,构造Greenshield模型,计算车辆速度、车辆密度和车流量参数。在此基础上依据车辆自身无线通信设备计算的车流量和接收到的其他车辆计算的车流量的差异,初步定位可能的异常节点位置。采用假设检验中的u检验方法决定是否接受接收到的数据,据此推断节点是否异常。仿真结果表明,采用该机制检测异常节点的真正率指标高、假正率指标低,能有效检测车辆自组网中的异常节点。

关键词: 车辆自组网, Greenshield模型, 假设检验, u检验, 异常节点检测

Abstract: In order to solve the problem of secure communication in Vehicle Ad Hoc Network(VANET),an abnormal node detection mechanism based on Greenshield model is proposed.Combined with the characteristics of vehicle ad hoc networks,Greenshield model is constructed to calculate the vehicle speed,vehicle density and traffic flow parameters.On this basis,based on the difference between the vehicle traffic calculated by the vehicle wireless communication devices and the traffic flow calculated by other vehicles received,the location of possible abnormal nodes may be initially located.The u test method in the hypothesis test is adopted to determine whether to accept the received data and to infer whether the node is abnormal.Simulation results show that the real index of abnormal node detection using this mechanism is high,the index of false positive rate is low,and the abnormal node in the vehicle ad hoc network can be effectively detected.

Key words: Vehicle Ad Hoc Network(VANET), Greenshield model, hypothesis test, u-test, abnormal node detection

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