Title: A trust management based on a cooperative scheme in VANET

Authors: Ahmed Zouinkhi; Amel Ltifi; Chiraz Chouaib; Mohamed Naceur Abdelkrim

Addresses: Research Unit: Modeling, Analysis and Control of Systems, National Engineering School of Gabes, Tunisia ' Research Unit: Sciences and Technologies of Image and Telecommunications, Higher Institute of Biotechnology of Sfax, Tunisia ' Research Unit: Modeling, Analysis and Control of Systems, National Engineering School of Gabes, Tunisia ' Research Unit: Modeling, Analysis and Control of Systems, National Engineering School of Gabes, Tunisia

Abstract: VANET is a vehicular ad hoc network, which is highly dynamic, self-organised and without a preexisting infrastructure. VANET works properly if the participating vehicles cooperate to ensure the exchange of packets. This special network confronts many constraints, such as attacks of malicious entity and absence of trust between nodes. To solve these problems, we proposed an approach having a decentralised architecture combining two models: the cluster model and the trust management model. Our approach encourages cooperation between vehicles by broadcast packets using the reward concept. It also ensures the detection of selfish nodes using the trust concept. By applying the punishment mechanism, our approach aimed to prevent malicious nodes from disrupting the network by injecting false information. Besides, in our network, we guaranteed authentic forwarding packets which were controlled by the group leader which takes the function of 'watchdog'. Our approach is based on asymmetric cryptography, which used RSA encryption and digital signature to ensure security. The simulation results provided by the NS3 simulator showed that our approach has better performance.

Keywords: vehicular ad-hoc network; VANET; cooperation; security; trust management; NS3.

DOI: 10.1504/IJICT.2018.094318

International Journal of Information and Communication Technology, 2018 Vol.13 No.3, pp.291 - 304

Received: 04 Jun 2015
Accepted: 04 Nov 2015
Published online: 30 Aug 2018 *

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