Privacy-Preserving Data Uploading SchemeBased on Threshold Secret Sharing Algorithm for Internet of Vehicles

Citation

Jiang, Zheng and Chua, Fang Fang and Lim, Amy Hui Lan (2025) Privacy-Preserving Data Uploading SchemeBased on Threshold Secret Sharing Algorithm for Internet of Vehicles. International Journal of Technology, 16 (3). p. 731. ISSN 2086-9614

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Abstract

Vehicle is needed to upload sensitive data such as the locations and traffic information in Internet of Vehicles (IoV). However, this process has significant privacy risks, specifically in scenarios where vehicles are constantly moving. Therefore, this study proposed a scheme called Privacy Preserving Data Uploading Scheme (PriDUS), which relied on Threshold Secret Sharing Algorithm (TSSA). The scheme worked by grouping vehicle dynamically, calculating sub-IDs to replace real vehicle IDs during data uploads. These sub-IDs were distributed among vehicle in a group, ensuring that the original vehicle ID stayed hidden during transmission. Major variables considered in the process included group size, time allowed for reporting, and position or speed of vehicle were major considerations. Through simulations, the results showed that PriDUS could lower the risk of privacy breaches by up to 2.5% while keeping data transmission duration at 100 to 150 milliseconds. The method proved to be both practical and efficient, allowing it to be suitable for dynamic as well as complex IoV environments.

Item Type: Article
Uncontrolled Keywords: Dynamic grouping; Internet of vehicles; Privacy protection; Threshold secret sharing algorithm
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28-70 Management. Industrial Management > HD30.2 Electronic data processing. Information technology. Including artificial intelligence and knowledge management
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 30 Jun 2025 08:00
Last Modified: 30 Jun 2025 08:00
URII: http://shdl.mmu.edu.my/id/eprint/14181

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