Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions

Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions
View Sample PDF
Author(s): Farhan Ahmad (University of Derby, UK), Asma Adnane (Loughborough University, UK), Chaker Abdelaziz Kerrache (University of Ghardaia, Algeria), Virginia N. L. Franqueira (University of Derby, UK) and Fatih Kurugollu (University of Derby, UK)
Copyright: 2020
Pages: 31
Source title: Global Advancements in Connected and Intelligent Mobility: Emerging Research and Opportunities
Source Author(s)/Editor(s): Fatma Outay (Zayed University, UAE), Ansar-Ul-Haque Yasar (Hasselt University, Belgium) and Elhadi Shakshuki (Acadia University, Canada)
DOI: 10.4018/978-1-5225-9019-4.ch004



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.

Related Content

Livinus Tuyisenge, Marwane Ayaida, Samir Tohme, Lissan-Eddine Afilal. © 2020. 64 pages.
Faouzi Kamoun, Hazar Chaabani, Fatma Outay, Ansar-Ul-Haque Yasar. © 2020. 28 pages.
Ahmad Hani El Fawal, Ali Mansour, Mohamad Najem. © 2020. 42 pages.
Farhan Ahmad, Asma Adnane, Chaker Abdelaziz Kerrache, Virginia N. L. Franqueira, Fatih Kurugollu. © 2020. 31 pages.
Ayodele Adekunle Faiyetole. © 2020. 30 pages.
Rodrigo Silva, Christophe Couturier, Thierry Ernst, Jean-Marie Bonnin. © 2020. 30 pages.
Kishwer Abdul Khaliq, Omer Chughtai, Amir Qayyum, J├╝rgen Pannek. © 2020. 26 pages.
Body Bottom