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A privacy-preserving querying mechanism with high utility for electric vehicles
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Atmaca, Ugur Ilker, Biswas, Sayan, Maple, Carsten and Palamidessi, Catuscia (2024) A privacy-preserving querying mechanism with high utility for electric vehicles. IEEE Open Journal of Vehicular Technology, 5 . pp. 262-277. doi:10.1109/ojvt.2024.3360302 ISSN 2644-1330.
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WRAP-privacy-preserving-querying-mechanism-high-utility-electric-vehicles-2024.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (3091Kb) | Preview |
Official URL: https://doi.org/10.1109/ojvt.2024.3360302
Abstract
Electric vehicles (EVs) are becoming more popular due to environmental consciousness. The limited availability of charging stations (CSs), compared to the number of EVs on the road, has led to increased range anxiety and a higher frequency of CS queries during trips. Simultaneously, personal data use for analytics is growing at an unprecedented rate, raising concerns for privacy. One standard for formalising location privacy is geo-indistinguishability as a generalisation of local differential privacy. However, the noise must be tuned properly, considering the implications of potential utility losses. In this paper, we introduce the notion of approximate geo-indistinguishability (AGeoI), which allows EVs to obfuscate their query locations while remaining within their area of interest. It is vital because journeys are often sensitive to a sharp drop in quality of service (QoS). Our method applies AGeoI with dummy data generation to provide two-fold privacy protection for EVs while preserving a high QoS. Analytical insights and experiments demonstrate that the majority of EVs get “privacy-for-free” and that the utility loss caused by the gain in privacy guarantees is minuscule. In addition to providing high QoS, the iterative Bayesian update allows for a private and precise CS occupancy forecast, which is crucial for unforeseen traffic congestion and efficient route planning.
Item Type: | Journal Article | ||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
SWORD Depositor: | Library Publications Router | ||||||
Journal or Publication Title: | IEEE Open Journal of Vehicular Technology | ||||||
Publisher: | IEEE | ||||||
ISSN: | 2644-1330 | ||||||
Official Date: | 30 January 2024 | ||||||
Dates: |
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Volume: | 5 | ||||||
Page Range: | pp. 262-277 | ||||||
DOI: | 10.1109/ojvt.2024.3360302 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 3 April 2024 | ||||||
Date of first compliant Open Access: | 3 April 2024 |
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