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CAT: Consensus-assisted trust estimation of MDS-equipped collaborators in vehicular ad-hoc network

IR@CMERI: CSIR- Central Mechanical Engineering Research Institute (CMERI), Durgapur


Field	Value

Title	CAT: Consensus-assisted trust estimation of MDS-equipped collaborators in vehicular ad-hoc network

Creator	Krishna, T. Raghu Vamsi Barnwal, Rajesh P. Ghosh, Soumya K.

Subject	Computer networking

Description	The trust establishment in highly mobile ad-hoc network is a challenging task. Vehicular ad-hoc network (VANET) poses trust estimation problem in dynamic network environment. Presence of misbehavior detection schemes (MDS), in the vehicular node, safeguards them up to a certain extent from misbehaving vehicles but existing MDS algorithms have their own limitations in terms of capability and accuracy. In this scenario, vehicles are supposed to collaborate among themselves for getting better assessment of the misbehaving peers. However, the trustworthiness of collaborators is always a questionable factor subject to verification. Trust estimation of the collaborating nodes is essentially required to provide supplementary information for more accurate decision about the adversaries. In this paper, algorithms have been proposed to estimate trustworthiness of the MDS-equipped collaborating nodes with the help of consensus mechanism. After comparison of different proposed trust-estimation algorithms in simulated environment, results reveal that the unsupervised k-means based consensus clustering algorithm is an effective solution for precise estimation of the trustworthiness of the collaborating node.

Publisher	Elsevier

Date	2015-07

Type	Article PeerReviewed

Identifier	Krishna, T. Raghu Vamsi and Barnwal, Rajesh P. and Ghosh, Soumya K. (2015) CAT: Consensus-assisted trust estimation of MDS-equipped collaborators in vehicular ad-hoc network. Vehicular Communications, 2 (3). pp. 150-157.

Relation	http://cmeri.csircentral.net/188/