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Title: A multi-level study for trust management models assessment in VANETs

Authors: Ilhem Souissi; Nadia Ben Azzouna; Lamjed Ben Said

Addresses: Strategies for Modelling and Artificial Intelligence Research Laboratory (SMART Lab), Institut Superieur de Gestion de Tunis, Universite de Tunis, Le Bardo, Tunis, Tunisia ' Strategies for Modelling and Artificial Intelligence Research Laboratory (SMART Lab), Institut Superieur de Gestion de Tunis, Universite de Tunis, Le Bardo, Tunis, Tunisia ' Strategies for Modelling and Artificial Intelligence Research Laboratory (SMART Lab), Institut Superieur de Gestion de Tunis, Universite de Tunis, Le Bardo, Tunis, Tunisia

Abstract: Nowadays, trust management is one of the key elements to ensure a high security level in ad hoc networks. Trust assessment can be perceived at three levels. First, the data perception trust need to be assessed in order to ensure a high quality of raw sensed data. Second, the trust relationship assessment is required to detect the selfish and malicious entities and to maintain the data integrity. Finally, the data fusion trust is essential to preserve the performance of the fusion process. In this paper, we intend to point out the need to integrate the data perception trust, the communication trust and the data fusion trust in order to preserve the information trustworthiness in VANETs. We further browse the literature to identify recent advancements with regard to each type of trust.

Keywords: data perception trust; DPT; communication trust; CT; data fusion trust; DFT; vehicular ad hoc networks; VANETs.

DOI: 10.1504/IJCISTUDIES.2020.106492

International Journal of Computational Intelligence Studies, 2020 Vol.9 No.1/2, pp.107 - 127

Received: 22 Mar 2018
Accepted: 20 Sep 2018

Published online: 02 Apr 2020 *

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