A hybrid dual-mode trust management scheme for vehicular networks

Rai, Ibrahim Abdo, Shaikh, Riaz Ahmed ORCID: https://orcid.org/0000-0001-6666-0253 and Hassan, Syed Raheel (2020) A hybrid dual-mode trust management scheme for vehicular networks. International Journal of Distributed Sensor Networks, 16 (7). ISSN 1550-1477

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Abstract

Vehicular ad-hoc networks allow vehicles to exchange messages pertaining to safety and road efficiency. Building trust between nodes can, therefore, protect vehicular ad-hoc networks from malicious nodes and eliminate fake messages. Although there are several trust models already exist, many schemes suffer from varied limitations. For example, many schemes rely on information provided by other peers or central authorities, for example, roadside units and reputation management centers to ensure message reliability and build nodes’ reputation. Also, none of the proposed schemes operate in different environments, for example, urban and rural. To overcome these limitations, we propose a novel trust management scheme for self-organized vehicular ad-hoc networks. The scheme is based on a crediting technique and does not rely on other peers or central authorities which distinguishes it as an economical solution. Moreover, it is hybrid, in the sense it is data-based and entity-based which makes it capable of revoking malicious nodes and discarding fake messages. Furthermore, it operates in a dual-mode (urban and rural). The simulation has been performed utilizing Veins, an open-source framework along with OMNeT++, a network simulator, and SUMO, a traffic simulator. The scheme has been tested with two trust models (urban and rural). The simulation results prove the performance and security efficacy of the proposed scheme.

Item Type:	Article
Uncontrolled Keywords:	vehicular networks,ad-hoc networks,trust management
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory
Related URLs:	https://doi.org/10.1177/1550147720939372
Depositing User:	LivePure Connector
Date Deposited:	30 May 2022 12:30
Last Modified:	02 Sep 2023 01:17
URI:	https://ueaeprints.uea.ac.uk/id/eprint/85245
DOI:	10.1177/1550147720939372

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