Ahmad, Farhan and Adnane, Asma and Kerrache, Chaker Abdelaziz and Franqueira, Virginia N. L. and Kurugollu, Fatih (2020) Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions. In: Global Advancements in Connected and Intelligent Mobility: Emerging Research and Opportunities. IGI Global, pp. 135-165. ISBN 978-1-5225-9020-0. (doi:10.4018/978-1-5225-9019-4.ch004) (KAR id:77167)
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Official URL: http://dx.doi.org/10.4018/978-1-5225-9019-4.ch004 |
Abstract
Vehicular ad-hoc network (VANET) and internet-of-vehicles (IoV) are complex networks which provide a unique platform for vehicles to communicate and exchange critical information (such as collision avoidance warnings) with each other in an intelligent manner. Thus, the information disseminated in the network should be authentic and originated from legitimate vehicles. Creating a trusted environment in the network can enable the vehicles to identify and revoke malicious ones. Trust is an important concept in VANET and IoV to achieve security in the network, where every vehicle equipped with an appropriate trust model can evaluate the trustworthiness of the received information and its sender. This chapter discusses trust in both VANET and IoV and identifies various trust models developed for VANET and IoV. The contribution of this chapter is threefold. First, the authors present a detailed taxonomy of trust models in VANET and IoV. Second, they provide current trends in the domain of trust management specifically for VANET and IoV, and finally, they provide various open research directions.
Item Type: | Book section |
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DOI/Identification number: | 10.4018/978-1-5225-9019-4.ch004 |
Uncontrolled keywords: | Internet of Vehicles, Smart city, Trust management, Security, Vehicular Ad-Hoc Network. |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Virginia Franqueira |
Date Deposited: | 16 Oct 2019 14:03 UTC |
Last Modified: | 08 Dec 2022 15:44 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/77167 (The current URI for this page, for reference purposes) |
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