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)
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ISBN | 979-8-3503-4655-8 |
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 |
DOI | 10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00367 |
URL | 查看来源 |
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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