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TEAM: A Trust Evaluation and Management Framework in Context-Enabled Vehicular Ad-Hoc Networks

Ahmad, Farhan, Franqueira, Virginia N.L., Adnane, Asma (2018) TEAM: A Trust Evaluation and Management Framework in Context-Enabled Vehicular Ad-Hoc Networks. IEEE Access, 6 . pp. 28643-28660. E-ISSN 2169-3536. (doi:10.1109/access.2018.2837887)

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https://doi.org/10.1109/access.2018.2837887

Abstract

Vehicular ad-hoc network (VANET) provides a unique platform for vehicles to intelligently exchange critical information, such as collision avoidance messages. It is, therefore, paramount that this information remains reliable and authentic, i.e., originated from a legitimate and trusted vehicle. Trust establishment among vehicles can ensure security of a VANET by identifying dishonest vehicles and revoking messages with malicious content. For this purpose, several trust models (TMs) have been proposed but, currently, there is no effective way to compare how they would behave in practice under adversary conditions. To this end, we propose a novel trust evaluation and management (TEAM) framework, which serves as a unique paradigm for the design, management, and evaluation of TMs in various contexts and in presence of malicious vehicles. Our framework incorporates an asset-based threat model and ISO-based risk assessment for the identification of attacks against critical risks. The TEAM has been built using VEINS, an open source simulation environment which incorporates SUMO traffic simulator and OMNET++ discrete event simulator. The framework created has been tested with the implementation of three types of TMs (data oriented, entity oriented, and hybrid) under four different contexts of VANET based on the mobility of both honest and malicious vehicles. Results indicate that the TEAM is effective to simulate a wide range of TMs, where the efficiency is evaluated against different quality of service and security-related criteria. Such framework may be instrumental for planning smart cities and for car manufacturers.

Item Type: Article
DOI/Identification number: 10.1109/access.2018.2837887
Additional information: This article is Open Access.
Uncontrolled keywords: Vehicular networks, trust management, smart cities, security, intelligent transportation systems, VEINS, SUMO, OMNET++, simulation.
Divisions: Faculties > Sciences > School of Computing > Security Group
Depositing User: Virginia Nunes Leal Franqueira
Date Deposited: 15 Oct 2019 17:32 UTC
Last Modified: 16 Oct 2019 11:23 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/77177 (The current URI for this page, for reference purposes)
Ahmad, Farhan: https://orcid.org/0000-0002-1988-0971
Franqueira, Virginia N.L.: https://orcid.org/0000-0003-1332-9115
Adnane, Asma: https://orcid.org/0000-0001-6659-9245
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