Abstract
In-vehicle communication has become an integral part of today’s driving environment considering the growing add-ons of sensor-centric communication and computing devices inside a vehicle for a range of purposes including vehicle monitoring, physical wiring reduction, and driving efficiency. However, related literature on cyber security for in-vehicle communication systems is still lacking potential dedicated solutions for in-vehicle cyber risks. Existing solutions are mainly relying on protocol-specific security techniques and lacking an overall security framework for in-vehicle communication. In this context, this paper critically explores the literature on cyber security for in-vehicle communication focusing on technical architecture, methodologies, challenges, and possible solutions. In-vehicle communication network architecture is presented considering key components, interfaces, and related technologies. The protocols for in-vehicle communication have been classified based on their characteristics, and usage type. Security solutions for in-vehicle communication have been critically reviewed considering machine learning, cryptography, and port-centric techniques. A multi-layer secure framework is also developed as a protocol and use case-independent in-vehicle communication solution. Finally, open challenges and future dimensions of research for in-vehicle communication cyber security are highlighted as observations and recommendations.
Original language | English |
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Article number | 6679 |
Pages (from-to) | 6679 |
Number of pages | 1 |
Journal | Sensors |
Volume | 22 |
Issue number | 17 |
Early online date | 3 Sept 2022 |
DOIs | |
Publication status | Published - 3 Sept 2022 |
Keywords
- controller area network (CAN)
- cryptography
- cyber attacks
- cyber security
- in-vehicle network
- intrusion detection system
- machine learning
- smart intelligent vehicles