Today’s advanced vehicles have high degree of interaction due to numerous sensors, actuators and also with complex communication within the control units. In order to hack a vehicle, it has to be within a certain range of communication. Here, we discuss the On-Board Diagnostic (OBD) regulations for next generation BEV/HEV, its vulnerabilities and cybersecurity threats that come with hacking. We propose three cybersecurity attack detection and defense methods: Cyber-Attack detection algorithm, Time-Based CAN Intrusion Detection Method and, Feistel Cipher Block Method. These control methods autonomously diagnose a cybersecurity problem in a vehicle’s onboard system using an OBD interface, such as OBD-II when a fault caused by a cyberattack is detected, All of this is achieved in an internal communication network structure. The results discussed here focus on the first detection method that is Cyber-Attack detection algorithm.
Onboard Cybersecurity Diagnostic System for Connected Vehicles
Sae Technical Papers
SAE Powertrains, Fuels & Lubricants Digital Summit ; 2021
2021-09-21
Conference paper
English
Onboard Cybersecurity Diagnostic System for Connected Vehicles
British Library Conference Proceedings | 2021
|Detection method for Cybersecurity attack on Connected vehicles
British Library Conference Proceedings | 2021
|