Onboard Cybersecurity Diagnostic System for Connected Vehicles 2021-01-1249
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.
Citation: Dadam, S., Zhu, D., Kumar, V., Ravi, V. et al., "Onboard Cybersecurity Diagnostic System for Connected Vehicles," SAE Technical Paper 2021-01-1249, 2021, https://doi.org/10.4271/2021-01-1249. Download Citation
Author(s):
Sumanth Reddy Dadam, Di Zhu, Vivek Kumar, Vinod Ravi, Venkata Sai Srikar Palukuru
Affiliated:
Wayne State University, North Carolina State University
Pages: 9
Event:
SAE Powertrains, Fuels & Lubricants Digital Summit
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Connectivity
On-board diagnostics (OBD)
Cybersecurity
Sensors and actuators
Diagnostics
Mathematical models
Hybrid electric vehicles
Regulations
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