姚念民

个人信息Personal Information

教授

博士生导师

硕士生导师

任职 : 智能计算教研室主任

性别:男

毕业院校:吉林大学

学位:博士

所在单位:计算机科学与技术学院

学科:计算机应用技术. 计算机软件与理论

办公地点:创新园大厦A820

联系方式:13304609362

电子邮箱:lucos@dlut.edu.cn

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A RSU-aided distributed trust framework for pseudonym-enabled privacy preservation in VANETs

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论文类型:期刊论文

发表时间:2019-04-01

发表刊物:WIRELESS NETWORKS

收录刊物:SCIE、EI

卷号:25

期号:3

页面范围:1099-1115

ISSN号:1022-0038

关键字:RSU-aided; Trust framework; Pseudonym; Security; VANETs

摘要:Vehicular ad hoc networks (VANETs) have the potential to change the way of people drive, travel and so on, in which vehicle can broadcast and forward the message of road condition or emergency. When the received messages are unreliable, they may lead the vehicles to make wrong decisions. To assess how trustworthy the messages are, every vehicle holds the reputation value in the trust-based schemes. In pseudonym-based schemes, vehicles change their pseudonyms by some kind of manner to confuse the trackers. However, the reputation value provides an additional clue to track vehicle when it and the pseudonym change asynchronously. To reconcile the conflict of privacy preservation and reputation evaluation, we propose a distributed trust framework for pseudonym-enabled privacy preservation in VANETs. In this framework, the road side unit assigns the reputation label certificate (RLC) to evaluate the reliability of message for every vehicle in its communication range. To preserve the privacy, the RLC manifests two trust statuses to replace the specific reputation value. All the reputation values of vehicles are stored in the centrical database. To encourage vehicle to follow the rules, the reputation update algorithm is designed with different weights, which achieve the reputation value increasing slowly and decreasing quickly. When RLC of vehicle is revoked, its security and privacy will not be protected. Finally, theoretical analysis and simulations show that our scheme can efficiently meet the requirements of security and privacy in VANETs.