The area of intelligent transport systems (ITS) is attracting growing attention because of the integration of the smart IoT with vehicles that improve user safety and overall travel experience. Vehicular ad hoc network (VANET) is the part of ITS; that deals with the routing protocols and security of smart vehicles. However, due to the rapid increase in the number of smart vehicles, the existing network technology’s resources unable to handle the traffic load. It expects that the 6G communication system has the ability to fulfill the requirements of VANETs. Only a few studies explore this area, but they also overlooked the security aspect of VANETs in 6G communications networks. In this paper, we present an approach to address authentication and security issues for vehicles in VANET. By authenticating cars in the VANET and identifying various cyber assaults such as DDoS, our method significantly contributes to the intelligent transport communication network. Our approach uses the concepts of identity-based encryption to provide access control to the vehicles and deep learning-based techniques for filtering malicious packets. Our identity-based encryption technique is IND-sID-CCA secure, and a state-of-the-art deep learning algorithm detects malicious packets with an accuracy of 99.72%. These results emphasize the validity of our proposed approach for VANETs in 6G communication systems.
A Fine-Grained Access Control and Security Approach for Intelligent Vehicular Transport in 6G Communication System
IEEE Transactions on Intelligent Transportation Systems ; 23 , 7 ; 9726-9735
2022-07-01
1955913 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
XML Repository Searcher-Browser Supporting Fine-Grained Access Control
British Library Online Contents | 2007
|VEHICULAR COMMUNICATION CONTROL DEVICE AND VEHICULAR COMMUNICATION CONTROL SYSTEM
Europäisches Patentamt | 2019
|Security architecture for vehicular communication
Tema Archiv | 2001
|