| Autor: |
Benarous, Leila, Kadri, Benamar, Boudjit, Saadi |
| Zdroj: |
International Journal of Vehicle Information and Communication Systems; 2023, Vol. 8 Issue: 3 p217-236, 20p |
| Abstrakt: |
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. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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