TY - GEN
T1 - ACTT
T2 - 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018
AU - Verma, Miki
AU - Bridges, Robert
AU - Hollifield, Samuel
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12
Y1 - 2018/12
N2 - 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.
AB - 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.
KW - Controller area network (CAN)
KW - DBC signal
KW - Regression
KW - Reverse engineering
KW - Tokenization
UR - http://www.scopus.com/inward/record.url?scp=85077965583&partnerID=8YFLogxK
U2 - 10.1109/CSCI46756.2018.00061
DO - 10.1109/CSCI46756.2018.00061
M3 - Conference contribution
AN - SCOPUS:85077965583
T3 - Proceedings - 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018
SP - 278
EP - 283
BT - Proceedings - 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 December 2018 through 15 December 2018
ER -