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Article

A Privacy Preserved, Trust Relationship (PTR) Model for Internet of Vehicles

1
Department of Computer Science, Islamia College Peshawar, Peshawar 25120, Pakistan
2
Department of Computer Science, Prince Sultan University, Riyadh 12435, Saudi Arabia
3
Department of Information Technology, College of Computer, Qassim University, Buraydah 51452, Saudi Arabia
4
Department of Computer Science, Quaid-e-Azam University, Islamabad 45320, Pakistan
5
Department of Electrical Engineering, College of Engineering and Information Technology, Unaizah Colleges, Unaizah 2053, Saudi Arabia
*
Authors to whom correspondence should be addressed.
Haleem Farman and Abizar Khalil has an equal contribution.
Academic Editors: Dongkyun Kim, Qinghe Du, Mehdi Sookhak, Lei Shu, Nurul I. Sarkar, Jemal H. Abawajy and Francisco Falcone
Electronics 2021, 10(24), 3105; https://doi.org/10.3390/electronics10243105
Received: 7 November 2021 / Revised: 1 December 2021 / Accepted: 2 December 2021 / Published: 14 December 2021
(This article belongs to the Special Issue 10th Anniversary of Electronics: Advances in Networks)
The Internet of vehicles (IoV) depicts a reality where ordinary things are connected to vehicular ad-hoc networks (VANETs), allowing them to transmit and collaborate. By placing these regular objects in VANETs and making them available at any time, this network and data sharing may raise real privacy and security issues. Thus, group-based communication is mostly preferred in the literature. However, in heavy network scenarios, cluster-based communication mostly leads to additional overload in the form of the group leader that causes delay and disrupts the performance of a network. Due to the interaction of VANETs with applications that are not stable for life, privacy and security mechanism for detecting many malicious nodes is in great demand. Therefore, a multi-phantom node selection has been proposed in this paper to select trustworthy, normal, and malicious nodes. The multi-phantom node scheme is proposed to reduce the phantom node load, where the multi-lateral nodes in a cluster act as a phantom node to share the load. A multi criteria decision-making (MCDM) methodology (analytic network process) is used to optimize the phantom node to pre-serve privacy using the privacy preserved trust relationship (PTR) model. The results show checking the stability of parameters and using sensitivity analysis by considering different scenarios for the most optimal phantom node to preserve vehicle location privacy. The impact of the proposed model will be more clearly visible in its real-time implementation in urban areas vehicle networks. View Full-Text
Keywords: location privacy; Internet of things; Internet of vehicles; ubiquities computing; multi-criteria decision; VANETs location privacy; Internet of things; Internet of vehicles; ubiquities computing; multi-criteria decision; VANETs
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MDPI and ACS Style

Farman, H.; Khalil, A.; Ahmad, N.; Albattah, W.; Khan, M.A.; Islam, M. A Privacy Preserved, Trust Relationship (PTR) Model for Internet of Vehicles. Electronics 2021, 10, 3105. https://doi.org/10.3390/electronics10243105

AMA Style

Farman H, Khalil A, Ahmad N, Albattah W, Khan MA, Islam M. A Privacy Preserved, Trust Relationship (PTR) Model for Internet of Vehicles. Electronics. 2021; 10(24):3105. https://doi.org/10.3390/electronics10243105

Chicago/Turabian Style

Farman, Haleem, Abizar Khalil, Naveed Ahmad, Waleed Albattah, Muazzam A. Khan, and Muhammad Islam. 2021. "A Privacy Preserved, Trust Relationship (PTR) Model for Internet of Vehicles" Electronics 10, no. 24: 3105. https://doi.org/10.3390/electronics10243105

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