Reference : A Data-Driven Minimal Approach for CAN Bus Reverse Engineering
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/44180
A Data-Driven Minimal Approach for CAN Bus Reverse Engineering
English
Buscemi, Alessio mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Castignani, German mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
Engel, Thomas mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Turcanu, Ion mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
2020
3rd IEEE Connected and Automated Vehicles Symposium, Victoria, Canada, 4-5 October 2020
Yes
No
International
3rd IEEE Connected and Automated Vehicles Symposium
from 04-10-2020 to 05-10-2020
[en] CAN Bus ; Automated Reverse Engineering ; In-Vehicle Networks ; Signal Identification ; Machine Learning
[en] Current in-vehicle communication systems lack security features, such as encryption and secure authentication. The approach most commonly used by car manufacturers is to achieve security through obscurity – keep the proprietary format used to encode the information secret. However, it is still possible to decode this information via reverse engineering. Existing reverse engineering methods typically require physical access to the vehicle and are time consuming. In this paper, we present a Machine Learning-based method that performs automated Controller Area Network (CAN) bus reverse engineering while requiring minimal time, hardware equipment, and potentially no physical access to the vehicle. Our results demonstrate high accuracy in identifying critical vehicle functions just from analysing raw traces of CAN data.
Fonds National de la Recherche - FnR
http://hdl.handle.net/10993/44180

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