Blockchain security for 5G network using Internet of Things devices
Network of vehicles using Internet of Things (IoT) frameworks have efficient characteristics of modern intelligent transportation system with a few challenges in vehicular ad-hoc networks (VANETs). However, its security framework is required to manage trust management by preserving user privacy...
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| Main Authors: | , , , , , |
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| Format: | Proceeding Paper |
| Language: | en en |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/101033/7/101033_Blockchain%20security%20for%205G%20network_SCOPUS.pdf http://irep.iium.edu.my/101033/13/101033_Blockchain%20security%20for%205G%20network.pdf http://irep.iium.edu.my/101033/ https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9924937 |
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| Summary: | Network of vehicles using Internet of Things
(IoT) frameworks have efficient characteristics of modern
intelligent transportation system with a few challenges in
vehicular ad-hoc networks (VANETs). However, its security
framework is required to manage trust management by
preserving user privacy. Wireless mobile communication (5G)
system is regarded as an outstanding technology that provide
ultra-reliable with limited latency wireless communication
services. By extension, integrating Software Defined Network
(SDN) with 5G-VANET enhances global information gathering
and network control. Therefore, real-time IoT application for
monitoring transport services is efficiently supported. These
ensures vehicular security on this framework. This paper
provides a technical solution to a self-confidential framework
for a smart transport system. This process exploiting IoT for
vehicle communication by incorporating SDN and 5G
technology. Due to some features of blockchain, this
framework has been implemented to provide various
alternative support for vehicular smart services. This involves
real-time access to cloud to stream video information and
protection management to vehicular network. The
implemented framework presents a promising technique and
reliable vehicular IoT environment while ensuring user
privacy. Results of simulation presents that vehicular
nodes/messages (malicious) and overhead is detected and the
impact on network performance are satisfactory when
deployed in large-scale network scenarios. |
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