科研成果详情

题名Risk Quantification of Privacy Management in Vehicular Ad Hoc Networks
作者
发表日期2022
会议名称2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Metaverse)
会议录名称Proceedings - 2022 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Autonomous and Trusted Vehicles, Scalable Computing and Communications, Digital Twin, Privacy Computing, Metaverse (SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse)
ISBN979-8-3503-4655-8
页码2358-2365
会议日期15-18 December 2022
会议地点Haikou, China
出版者IEEE
摘要

Vehicles participating in routing operations in vehicular ad hoc networks (VANETs) are required to periodically broadcast beacon messages. However, frequently broadcasting the vehicular information can pose a serious threat upon users' location privacy. While the exploitation of collective anonymity scheme on pseudonym change is an effective approach to protecting the location privacy of a target vehicle in VANETs, the exposure impact of the collective anonymity on privacy risk of a target vehicle has not been investigated yet. In this paper, we focus on improving anonymity level for a target vehicle in a collective anonymity scenario while achieving a high level of privacy exposure risk management. To achieve this, we first propose a pseudonym change scheme based on an assessment of the privacy exposure risk, aiming to manage and mitigate the privacy exposure risk of the target vehicle brought by exposed neighboring vehicles. Then we formulate an analytical model according to our proposed scheme in order to quantify the anonymity level of the target vehicle simultaneously updating pseudonyms with its neighbors. Simulation results show that our proposed scheme succeeds in promoting the size of anonymity set of the target vehicle with the growth in the number of its exposed neighboring vehicles. Meanwhile, with different setting parameters, our scheme retains effective performance compared to the random pseudonym change scheme.

关键词collective anonymity location privacy Privacy exposure risk pseudonym change VANETs
DOI10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00367
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语种英语English
Scopus入藏号2-s2.0-85168103819
引用统计
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/11642
专题理工科技学院
通讯作者Liu, Gang
作者单位
BNU-HKBU UIC,Faculty of Science and Technology,Zhuhai,519087,China
第一作者单位理工科技学院
通讯作者单位理工科技学院
推荐引用方式
GB/T 7714
Liu, Gang,Hou, Ricky Yuen Tan. Risk Quantification of Privacy Management in Vehicular Ad Hoc Networks[C]: IEEE, 2022: 2358-2365.
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