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Adjusted Location Privacy Scheme in VANET Safety Applications

Al-Ani, R, Zhou, B, Shi, Q, Baker, T and Abdlhamed, M (2020) Adjusted Location Privacy Scheme in VANET Safety Applications. In: NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium . (The Third International Workshop on Intelligent Transportation and Connected Vehicles Technologies (ITCVT 2020), 20 April 2020 - 24 April 2020, Budapest, Hungary).

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The primary aim of Vehicular Ad hoc NETworks (VANET) is to enhance traffic safety by enabling frequent broadcasting of location information between vehicles. In VANET safety applications, a vehicle requires to broadcast messages, which usually contain its location information, every (1-10 Hz) with other vehicles in its communication area (300m) to facilitate cooperative awareness. This would arise privacy issues because vehicles are vulnerable to tracking attacks via their locations. To prevent long-term linking, many privacy schemes have adopted a silent period in which a vehicle stops sharing its locations for a period. However, silent periods could have a negative impact on safety applications as an accident could have happened if a vehicle stop sharing its locations with other neighbours. Thus, in this paper, we first discuss three privacy schemes (RSP, SLOW and CAPS), which adopted silent periods but in different concepts. Then, we improve the privacy and safety level of CAPS. A privacy simulator PREXT is used to evaluate and compare the performance of schemes.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science & Mathematics
Publisher: IEEE
Date Deposited: 05 May 2020 08:42
Last Modified: 15 May 2024 16:04
DOI or ID number: 10.1109/NOMS47738.2020.9110362
URI: https://researchonline.ljmu.ac.uk/id/eprint/12871
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