A Three-Factor Based Trust Model for Anonymous Bacon Message in VANETs

作者全名："Zhang, Song; He, Rui; Xiao, Yunpeng; Liu, Yanbing"

作者地址："[Zhang, Song; He, Rui; Xiao, Yunpeng] Chongqing Univ Posts & Telecommun, Sch Comp Sci & Technol, Chongqing 400000, Peoples R China; [Liu, Yanbing] Chongqing Med Univ, Sch Med Informat, Chongqing 400000, Peoples R China"

通信作者："Liu, YB (通讯作者)，Chongqing Med Univ, Sch Med Informat, Chongqing 400000, Peoples R China."

来源：IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

ESI学科分类：ENGINEERING

WOS号：WOS:001103676800019

JCR分区：Q1

影响因子：6.1

年份：2023

卷号：72

期号：9

开始页：11304

结束页：11317

文献类型：Article

关键词：Anonymous bacon message; confidence; expectation; risk; trust model

摘要："The periodic beacon message is one of the most common messages in vehicular ad hoc networks (VANETs) and plays an important role in enhancing road safety. To protect the identity and location privacy of the vehicle, the beacon messages should be anonymous and unlinkable under a conditional privacy-preserving authentication protocol. However, due to malicious intent or sensor failure, even certified vehicles may share dishonest anonymous beacon messages, thereby endangering road safety. In this paper, according to the three important trust factors including expectation, risk and confidence, we propose a three-factor based data-centric trust model (ERC-TM) to judge the trustworthiness of anonymous beacon messages. First, we evaluate the expectation value, risk value and confidence value of a beacon message respectively. Then, according to the qualitative relationship between trust and the three factors, we propose a trust decision based on the three factors to judge whether the beacon message is trustworthy. The proposed trust model makes the trusted beacon messages have the characteristics of high expectation, low risk and high confidence. We define different attacks according to the modification degree of beacon messages, and conduct simulation experiments in two common traffic scenarios. Simulation results show that the proposed model can effectively identify malicious beacon messages. Furthermore, we analyze the impact of different attacks and the confidence values of the proposed model. In addition, the impact of each trust factor is also analyzed through ablation experiments, and the relevant requirements are discussed."

基金机构：National Natural Science Foundation of China [62272074]; Doctoral Program of Chongqing University of Posts and Telecommunications [BYJS202014]

基金资助正文："This work was supported in part by the National Natural Science Foundation of China under Grant 62272074, and in part by the Doctoral Program of Chongqing University of Posts and Telecommunications under Grant BYJS202014. The review of this article was coordinated by Prof. Amiya Nayak."