Journal of Computer Applications ›› 2014, Vol. 34 ›› Issue (10): 2771-2776.DOI: 10.11772/j.issn.1001-9081.2014.10.2771

• Network and communications • Previous Articles     Next Articles

Multi-round vote location verification mechanism based on weight and difference value in vehicular Ad Hoc network

WANG Xueyin1,FENG Jianguo2,CHEN Jiawei1,ZHANG Fang1,XUE Xiaoping1   

  1. 1. School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China;
    2. Department of Basic Courses, Suzhou College of Information Technology, Suzhou Jiangsu 215000, China
  • Received:2014-04-30 Revised:2014-06-10 Online:2014-10-01 Published:2014-10-30
  • Contact: WANG Xueyin

基于权重的差值化多轮投票车载自组织网络位置验证机制

王学莹1,冯建国2,陈佳威1,张芳1,薛小平1   

  1. 1. 同济大学 电子与信息工程学院,上海 201804
    2. 苏州信息职业技术学院 基础课部,江苏 苏州 215000
  • 通讯作者: 王学莹
  • 作者简介:王学莹(1990-),女,新疆昌吉人,硕士研究生,主要研究方向:物联网、RFID理论; 冯建国(1963-),男,江苏金坛人,讲师,主要研究方向:车载自组织网络、信息安全; 陈佳威(1987-),男,浙江宁波人,硕士,主要研究方向:宽带移动通信; 张芳(1971-),女,浙江嵊泗人,讲师,博士,主要研究方向:信号与信息处理、图像处理; 薛小平(1963-),男,江苏金坛人,教授,博士,主要研究方向:物联网、可信计算、路由理论。
  • 基金资助:

    国家自然科学基金资助项目

Abstract:

To solve the problem of location verification caused by collusion attack in Vehicular Ad Hoc NETworks (VANET), a multi-round vote location verification based on weight and difference was proposed. In the mechanism, a static frame was introduced and the Beacon messages format was redesigned to alleviate the time delay of location verification. By setting malicious vehicles filtering process, the position of the specific region was voted by the neighbors with different degrees of trust, which could obtain credible position verification. The experimental results illustrate that in the case of collusion attack, the scheme achieves a higher accuracy of 93.4% compared to Minimum Mean Square Estimation (MMSE) based location verification mechanism.

摘要:

针对车载自组织网络(VANET)位置验证的共谋攻击问题,提出了一种基于权重的差值化多轮投票位置验证机制。该机制通过引入静态帧以及重新设计信标帧(Beacon)消息格式缓解位置验证延时,并设置恶意车辆过滤环节,使得具有不同信任度的邻居对特定区域中的位置进行基于权重的多轮投票,以获得可信的位置验证。实验结果表明,在位置验证算法的正确率方面,多个恶意车辆发起合谋攻击时该机制算法的正确率仍能达到93.4%,与基于最小均方误差(MMSE)的位置验证方案相比,能获得更高的检测率。

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