Secure Internet of Vehicles (IoV) with decentralized consensus blockchain mechanism
Tu, Shanshan, Haoyu, Yu, Badshah, Akhtar, Waqas, Muhammad ORCID: 0000-0003-0814-7544 , Halim, Zahid and Ahmad, Iftekhar (2023) Secure Internet of Vehicles (IoV) with decentralized consensus blockchain mechanism. IEEE Transactions on Vehicular Technology, 72 (9). pp. 11227-11236. ISSN 0018-9545 (Print), 1939-9359 (Online) (doi:https://doi.org/10.1109/TVT.2023.3268135)
|
PDF (AAM)
44472_WAQAS_Secure_Internet_of_Vehicles_IoV_with_decentralized_consensus_blockchain_mechanism.pdf - Accepted Version Download (1MB) | Preview |
Abstract
The Internet of vehicles (IoV) is increasingly being used to realize the vision of intelligent transportation systems with the rapid development of computation and communication technologies. However, numerous IoV applications rely on a central unit for storing and processing information and mediators for wireless transmission. This can lead to the leakage of sensitive data and high costs and delays. To address these issues and improve the efficiency of data storage, processing, and sharing in the IoV, we propose a vehicle-based secure blockchain consensus (VBSBC) algorithm. Our VBSBC algorithm overcomes the limitations and drawbacks of state-of-the-art approaches by leveraging blockchain technology and a consensus algorithm to ensure secure communication between vehicles. In addition, the algorithm includes an authentication process and a key distributing and request process, illustrated during vehicles’ movement between different zones. In simulation results, our proposed VBSBC algorithm demonstrated high performance compared to existing approaches in terms of authentication delay, key processing time, attack detection rate, throughput, and packet loss rate.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | blockchain; Internet of Vehicles; security; authentication; key processing |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) |
Last Modified: | 16 Oct 2023 13:55 |
URI: | http://gala.gre.ac.uk/id/eprint/44472 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year