- By:
- Verma, Kiren E; Bridges, Robert A; Hollifield, Samuel C
- Page Number:
- 278-283
- Book Title:
- 2018 International Conference on Computational Science and Computational Intelligence (CSCI)
- Publication Date:
- November 9, 2023
- Publisher Location:
- IEEE, New Jersey, United States of America
- Conference Name:
- 2018 International Conference on Computational Science and Computational Intelligence (CSCI)
- Conference Location:
- Las Vegas, Nevada, United States of America
- Conference Sponsor:
- IEEE
- View DOI Listing:
- https://doi.org/10.1109/CSCI46756.2018.00061
Abstract
Modern vehicles contain scores of Electrical Control Units (ECUs) that broadcast messages over a Controller Area Network (CAN). Vehicle manufacturers rely on security through obscurity by concealing their unique mapping of CAN messages to vehicle functions which differs for each make, model, year, and even trim. This poses a major obstacle for after-market modifications notably performance tuning and in-vehicle network security measures. We present ACTT: Automotive CAN Tokenization and Translation, a novel, vehicle-agnostic, algorithm that leverages available diagnostic information to parse CAN data into meaningful messages, simultaneously cutting binary messages into tokens, and learning the translation to map these contiguous bits to the value of the vehicle function communicated.
