Distributed Data fusion for detecting Sybil attacks in VANETs

Nicole El Zoghby (1) , Véronique Cherfaoui (1) , Bertrand Ducourthial (1) , Thierry Denoeux (1)

1 Heudiasyc - Heuristique et Diagnostic des Systèmes Complexes [Compiègne]

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.

Mots clés: Belief functions; VANETs; Sybil Attack; Data fusion

Domaines: Intelligence artificielle [cs.AI]; Robotique [cs.RO]; Réseaux et télécommunications [cs.NI]

Nicole El Zoghby, Véronique Cherfaoui, Bertrand Ducourthial, Thierry Denoeux. Distributed Data fusion for detecting Sybil attacks in VANETs. 2nd International Conference on Belief Functions (BELIEF 2012), May 2012, Compiègne, France. pp.351-358, ⟨10.1007/978-3-642-29461-7_41⟩. ⟨hal-00756330⟩