Location closeness model for VANETs with integration of 5G

Junejo, Muhammad Haleem, Rahman, Ab Al Hadi Ab, Shaikh, Riaz Alimed ORCID: https://orcid.org/0000-0001-6666-0253 and Yusof, Kamaludin Mohamad (2021) Location closeness model for VANETs with integration of 5G. Procedia Computer Science, 182. pp. 71-79. ISSN 1877-0509

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Nowadays. 5G is playing a significant role in the efficiency of network security and creating more and faster channels for communication. 5G is evoking industries such as healthcare, education, marketing, transportation, and V2X (Vehicle-to-everything). In addition. 5G considers a new radio access technology that is adding new applications like the Internet of Tilings (IoT). Augmented Reality. Virtual Reality, connected cars, connected people-to-people, smart city, connected homes that are considered using higher bandwidth and low latency. Mainly, this paper is focusing on security challenges faced by the Vehicular ad-hoc network (VANET). VANET faces threats in three different fields: Security, safety, and infotainment, which further have numerous attacks. More precisely, this research conducted an in-depth study and proposed a VANET trust model. Therefore the proposed model deals specifically with the "location closenessb" parameter. Moreover, the trust model integrated with 5G cloud to support greater coverage, effective network density with respect to network infrastructure and IoT as well. Therefore, in this article, an effort has been put forward to implement the model using case studies to validate the trust model based on the "location closeness parameter. The results proved the valid implementation of the model by identifying the trusted communication between the vehicles.

Item Type: Article
Additional Information: Publisher Copyright: B) 2021 The Authors. Published by Elsevier B.V.
Uncontrolled Keywords: 5g,location closeness,trust model,vanet,computer science(all),sdg 11 - sustainable cities and communities ,/dk/atira/pure/subjectarea/asjc/1700
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:
Depositing User: LivePure Connector
Date Deposited: 17 Aug 2022 08:30
Last Modified: 07 Oct 2023 01:15
URI: https://ueaeprints.uea.ac.uk/id/eprint/87352
DOI: 10.1016/j.procs.2021.02.010

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