Title Automating ECU Identification for Vehicle Security
Publication Type Conference Paper
Year of Publication 2016
Authors Jaynes, M, Dantu, R, Varriale, R, Evans, N
Conference Name 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA)
Date Published Dec
Keywords Acceleration, automobiles, automotive electronics, automotive security, Brakes, broadcasting, CAN bus, CAN bus messages, classification, consumer automobiles, control engineering computing, controller area network, controller area networks, ECU identification automation, electronic control unit, electronic engineering computing, embedded systems, learning (artificial intelligence), machine learning, machine learning classifier, pattern classification, Protocols, Security, security of data, Training, vehicle bus, vehicular ad hoc networks, vehicular cybersecurity, Wheels
Abstract

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.
DOI 10.1109/ICMLA.2016.0111

Publication Status:

  • Published

UNT Department:

  • Computer Science and Engineering (CSE)

UNT Center:

  • Center for Information and Cyber Security (CICS)

UNT Lab:

  • Network Security Laboratory (NSL)
Document:
Automating_ECU_Identification_Vehicle_Security.pdf