Abstract
Sybil attacks have become a serious threat as they can affect the functionality of VANETs (Vehicular Ad Hoc Networks). This paper presents a method for detecting such attacks in VANETs based on distributed data fusion. An algorithm has been developed in order to build distributed confidence over the network under the belief function framework. Our approach has been validated by simulation.
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El Zoghby, N., Cherfaoui, V., Ducourthial, B., Denœux, T. (2012). Distributed Data Fusion for Detecting Sybil Attacks in VANETs. In: Denoeux, T., Masson, MH. (eds) Belief Functions: Theory and Applications. Advances in Intelligent and Soft Computing, vol 164. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29461-7_41
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DOI: https://doi.org/10.1007/978-3-642-29461-7_41
Publisher Name: Springer, Berlin, Heidelberg
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