Autonomous Vehicles with a 6G-based Intelligent Cybersecurity Model

• Published in: IEEE access Vol. 11; p. 1
• Main Authors: Algarni, Abdullah, Thayananthan, Vijey
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 6G mobile communication; 6G security; Algorithms; Artificial intelligence; Autonomous vehicles; Computer security; Costs; Cryptography; Cybersecurity; cybersecurity attacks; Deep learning; Electric vehicles; intelligent transportation system; Intelligent transportation systems; risk assessment; Risk management; Safety; Security; Ultra reliable low latency communication
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2023.3244883

Sixth-generation (6G)-based communications have many applications and are emerging as a new system to utilize existing vehicles and communication devices in autonomous vehicles (AVs). Electric vehicles and AVs not supporting the integration of intelligent cybersecurity will become vulnerable, and their internal functions, features, and devices providing services will be damaged. This paper presents an intelligent cybersecurity model integrating intelligent features according to the emerging 6G-based technology based on evolving cyberattacks. The model's novel design was developed using the necessary algorithms to provide quick and proactive decisions with intelligent cybersecurity based on 6G (IC6G) policies when AVs face cyberattacks. In this model, network security algorithms incorporating intelligent techniques are developed using applied cryptography. Money transaction handling services implemented in an AV are considered an example to determine the security and intelligence level depending on the IC6G policies. Intelligence, complexity, and energy efficiency (EE) are assessed. Finally, we conclude that the model results are effective for intelligently detecting and preventing cyberattacks on AVs.