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基于高效假名消耗的车联网匿名性保证。

Anonymity Assurance Using Efficient Pseudonym Consumption in Internet of Vehicles.

机构信息

Department of Computer Science, National University of Modern Languages (NUML), Islamabad 44000, Pakistan.

Department of Computer Science and Software Engineering, International Islamic University Islamabad, Islamabad 44000, Pakistan.

出版信息

Sensors (Basel). 2023 May 31;23(11):5217. doi: 10.3390/s23115217.

Abstract

The Internet of vehicles (IoVs) is an innovative paradigm which ensures a safe journey by communicating with other vehicles. It involves a basic safety message (BSM) that contains sensitive information in a plain text that can be subverted by an adversary. To reduce such attacks, a pool of pseudonyms is allotted which are changed regularly in different zones or contexts. In base schemes, the BSM is sent to neighbors just by considering their speed. However, this parameter is not enough because network topology is very dynamic and vehicles can change their route at any time. This problem increases pseudonym consumption which ultimately increases communication overhead, increases traceability and has high BSM loss. This paper presents an efficient pseudonym consumption protocol (EPCP) which considers the vehicles in the same direction, and similar estimated location. The BSM is shared only to these relevant vehicles. The performance of the purposed scheme in contrast to base schemes is validated via extensive simulations. The results prove that the proposed EPCP technique outperformed compared to its counterparts in terms of pseudonym consumption, BSM loss rate and achieved traceability.

摘要

车联网(IoV)是一种创新的范例,通过与其他车辆进行通信来确保安全的旅程。它涉及到一个基本的安全消息(BSM),其中包含敏感信息的纯文本,可能会被对手颠覆。为了减少这种攻击,分配了一组假名,这些假名在不同的区域或上下文中定期更改。在基础方案中,BSM 仅通过考虑邻居的速度发送给邻居。然而,这个参数是不够的,因为网络拓扑非常动态,车辆可以随时改变他们的路线。这个问题增加了假名的消耗,最终增加了通信开销,增加了可追踪性,并导致 BSM 大量丢失。本文提出了一种有效的假名消耗协议(EPCP),该协议考虑了同一方向和相似估计位置的车辆。BSM 仅与这些相关车辆共享。通过广泛的仿真验证了所提出方案与基础方案相比的性能。结果证明,与同类方案相比,所提出的 EPCP 技术在假名消耗、BSM 丢失率和可追踪性方面表现更好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f01d/10256095/bc64d2753dbc/sensors-23-05217-g001.jpg

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