TY - GEN
T1 - Automating ecu identification for vehicle security
AU - Jaynes, Michael
AU - Dantu, Ram
AU - Varriale, Roland
AU - Evans, Nathaniel
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/31
Y1 - 2017/1/31
N2 - The field of vehicular cybersecurity has received considerable media and research attention in the past few years. Given the increasingly connected aspect of consumer automobiles, along with the inherent danger of these machines, there has been a call for experienced security researchers to contribute towards the vehicle security domain. The proprietary nature of Controller Area Network (CAN) bus messages, however, creates a barrier of entry for those unfamiliar, due to the need to identify what the messages on a given vehicle's bus are broadcasting. This work aims to automate the process of correlating CAN bus messages with specific Electronic Control Unit (ECU) functions in a new vehicle, by creating a machine learning classifier that has been trained on a dataset of multiple vehicles from different manufacturers. The results show that accurate classification is possible, and that some ECUs that broadcast similar vehicle dynamics broadcast similar CAN messages.
AB - The field of vehicular cybersecurity has received considerable media and research attention in the past few years. Given the increasingly connected aspect of consumer automobiles, along with the inherent danger of these machines, there has been a call for experienced security researchers to contribute towards the vehicle security domain. The proprietary nature of Controller Area Network (CAN) bus messages, however, creates a barrier of entry for those unfamiliar, due to the need to identify what the messages on a given vehicle's bus are broadcasting. This work aims to automate the process of correlating CAN bus messages with specific Electronic Control Unit (ECU) functions in a new vehicle, by creating a machine learning classifier that has been trained on a dataset of multiple vehicles from different manufacturers. The results show that accurate classification is possible, and that some ECUs that broadcast similar vehicle dynamics broadcast similar CAN messages.
KW - Automotive security
KW - CAN bus
KW - Classification
KW - Machine learning
UR - http://www.scopus.com/inward/record.url?scp=85015408355&partnerID=8YFLogxK
U2 - 10.1109/ICMLA.2016.53
DO - 10.1109/ICMLA.2016.53
M3 - Conference contribution
AN - SCOPUS:85015408355
T3 - Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016
SP - 632
EP - 635
BT - Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016
Y2 - 18 December 2016 through 20 December 2016
ER -