Title: Camouflage-based location privacy preserving scheme in vehicular ad hoc networks

Authors: Leila Benarous; Benamar Kadri; Saadi Boudjit

Addresses: Department of Computer Science, LIM Laboratory, Faculty of Science, University of Amar Telidji, Laghouat, Algeria; LISSI-Tinc-NET Laboratory, University of Paris-Est Creteil, F-94400, Vitry-sur-Seine, France ' Department of Biomedical Engineering, Faculty of Technology, University of Tlemcen, Chetouane, Algeria ' L2TI Laboratory, University of Paris 13, Villetaneuse 93430, France

Abstract: The location privacy is critical and preserving it is essential. The tracking exposes the real time location, history of visited places and parsed trajectories. Metaphorically speaking, it is the cyber equivalent of the physical stalking and as dangerous as it is. In vehicular networks in particular, this issue is serious because the autonomous vehicles periodically and timely transmit their locations, headings, speed and identity to neighbour vehicles and/or service infrastructures. To preserve the location privacy, various pseudonym-based approaches exist, mainly focusing on unlinkable pseudonym change strategies. In this paper, we propose a camouflage-based solution that prevents the linkability of pseudonyms upon their update even within low density roads where the tracking chances are high. The solution is simulated using NS2 against a global passive attacker that executes the semantic and syntactic linking attacks. The results demonstrate the effectiveness of the solution in protecting the privacy.

Keywords: autonomous vehicle; vehicular network; privacy; attacker; simulation; linkability.

DOI: 10.1504/IJVICS.2023.132926

International Journal of Vehicle Information and Communication Systems, 2023 Vol.8 No.3, pp.217 - 236

Received: 25 Oct 2019
Accepted: 21 Jan 2021
Published online: 17 Aug 2023 *

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