Development of a Threat Model for Vehicular Ad-hoc Network Based Accident Warning Systems

Chowdhury, N. M. and Mackenzie, L. (2014) Development of a Threat Model for Vehicular Ad-hoc Network Based Accident Warning Systems. In: SIN 2014: 7th International Conference on Security of Information and Networks, Glasgow, UK, 09-11 Sep 2014, pp. 447-458. ISBN 9781450330336 (doi: 10.1145/2659651.2659684)

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Accident Warning Systems (AWSs) use Vehicular Ad-hoc Networks to help avoid potential collisions and spread safety notifications amongst nearby vehicles. The development of such systems often assumes that the users are honest and therefore will participate as expected to maximize the intended benefit. In practice, however, attacks are a real possibility and require appropriate counter-measures to avoid a range of undesirable outcomes from reduced functionality to failure to maliciously induced traffic incidents. This paper examines the subject and identifies potential adversaries and the attacks that they might use. Finally, it proposes a threat model that presents a comprehensive picture of how security, privacy and trust issues in AWSs will be targeted and how they can be protected.

Item Type:Conference Proceedings
Keywords:Threat model, VANET, warning systems.
Glasgow Author(s) Enlighten ID:Mackenzie, Dr Lewis
Authors: Chowdhury, N. M., and Mackenzie, L.
College/School:College of Science and Engineering > School of Computing Science

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