Citation

Jiang, Zheng and Chua, Fang Fang and Lim, Amy Hui Lan (2023) SBM-SA: A Safety Beacon Message Separation Algorithm for Privacy Protection in Internet of Vehicles. Journal of Telecommunications and the Digital Economy, 11 (4). pp. 66-93. ISSN 2203-1693

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Abstract

A safety beacon message (SBM) plays a pivotal role in the Internet of Vehicles (IoV), broadcasting crucial events and road conditions to nearby vehicles. Given the sensitive nature of the data, such as vehicle identity and location, ensuring privacy is paramount. The significance of this research lies in addressing the pressing need for comprehensive privacy protection in the IoV, especially as most existing schemes focus on safeguarding either vehicle identity or location data during exchanges with core servers. The primary objective of this article is to introduce an SBM separation algorithm, termed SBM-SA, designed to holistically protect both identity and location data. Utilising correlation analysis, the SBM-SA stands as an innovative anonymisation privacy algorithm. Through a simulated IoV environment, the accuracy and efficacy of an SBM-SA are meticulously analysed and juxtaposed against prevailing privacy protection schemes. The findings underscore the SBM-SA’s potential to significantly enhance privacy measures in the IoV. Implications of this research extend to shaping future privacy protection strategies of the SBM, emphasising the need for holistic and robust solutions in an increasingly interconnected vehicular landscape.

Item Type:	Article
Uncontrolled Keywords:	Internet of Vehicles
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	03 Jan 2024 04:21
Last Modified:	03 Jan 2024 04:21
URII:	http://shdl.mmu.edu.my/id/eprint/12000

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