Title: Trust assessment-based stable and attack resistant grouping strategy for data dissemination in IoV

Authors: Richa Sharma; Teek Parval Sharma; Ajay Kumar Sharma

Addresses: Department of Computer Science and Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh, India ' Department of Computer Science and Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh, India ' Department of Computer Science and Engineering, National Institute of Technology, Delhi, India

Abstract: The coalescence of vehicular ad hoc network (VANET) with the internet of things (IoT) results in the concept of the internet of vehicles (IoV). IoV structures a strong backbone for intelligent transport system (ITS), however due to highly dynamic vehicular networks, the trustworthiness of disseminated messages is significant since a fake message might cause fatal mishaps on the road. To address these issues, in this article trust assisted grouping approach has been proposed to limit the malicious communication among vehicles in both dense and sparse traffic scenarios and enhance security. The key highlights consolidated in our proposed approach incorporate trust-based GH selection based on direct and indirect trust assessment parameters. Trust assessment is performed by roadside unit (RSU) to maintain the degree of trust among vehicles of the group by evaluating direct trust assessment-based parameters like realisation, reputation, experience and indirect trust assessment-based parameters like suggestion factor. Vehicle attaining supreme trust value is elected as group head, which enhances trust among group members. The performance and accuracy of our approach is rigorously evaluated under various trust assessment parameters in both sparse and dense scenarios.

Keywords: internet of vehicle; IoV; direct trust assessment; attack model; NS3; simulation of urban mobility; SUMO.

DOI: 10.1504/IJSNET.2022.10051920

International Journal of Sensor Networks, 2022 Vol.40 No.3, pp.160 - 174

Received: 01 Jun 2021
Received in revised form: 04 Mar 2022
Accepted: 22 Mar 2022

Published online: 22 Nov 2022 *

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