Joint Clustering and Blockchain for Real-Time Information Security Transmission at the Crossroads in C-V2X Networks
| Autor: | Wanying Li, Zhongshan Zhang, Hailin Xiao, Anthony T. Chronopoulos, Wenqian Zhang |
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| Rok vydání: | 2021 |
| Předmět: |
Computer Networks and Communications
Computer science business.industry Information sharing Information processing Information security Traffic flow Computer Science Applications Transmission (telecommunications) Hardware and Architecture Signal Processing Trust management (information system) Real-time data Cluster analysis business Information Systems Computer network |
| Zdroj: | IEEE Internet of Things Journal. 8:13926-13938 |
| ISSN: | 2372-2541 |
| Popis: | The cellular vehicle-to-everything (C-V2X) networks support diverse kinds of services, such as traffic management, road safety, and sharing data. However, the safety issues cannot be ignored in the process of information transmission. In this article, a joint clustering and blockchain scheme is proposed for real-time information security transmission to prevent some vehicles from sending malicious messages to disrupt the traffic order at the crossroads in C-V2X networks. In this scheme, the dynamic stability of the cluster is maintained by updating the trust value of the vehicle nodes, which can improve the real time and accuracy of the information transmission. The modified Webster algorithm is presented to divert the traffic flow so as to reduce the traffic jams at the crossroads. Meanwhile, the blockchain technology is utilized to establish a vehicle trust management mechanism in C-V2X, which can avoid malicious tampering of vehicle information during information sharing and ensure the safety of vehicle information communication. The simulation results of the Veins simulation platform are provided to demonstrate the effectiveness of the proposed algorithm and verify that the proposed scheme can guarantee the security of real-time information transmission. |
| Databáze: | OpenAIRE |
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