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Location Closeness Model for VANETs with Integration of 5G
Nowadays, 5G is playing a significant role in the efficiency of network security and creating more and faster channels for communication. 5G is evolving industries such as healthcare, education, marketing, transportation, and V2X (Vehicle-to-everything). In addition, 5G considers a new radio access...
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Published in: | Procedia computer science 2021, Vol.182, p.71-79 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Nowadays, 5G is playing a significant role in the efficiency of network security and creating more and faster channels for communication. 5G is evolving 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 Things (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 closeness” 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. |
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ISSN: | 1877-0509 1877-0509 |
DOI: | 10.1016/j.procs.2021.02.010 |