[en] Semi-automated Controller Area Network (CAN) reverse engineering has been shown to provide decoding accuracy comparable to the manual approach, while reducing the time required to decode signals. However, current approaches are invasive, as they make use of diagnostic messages injected through the On-Board Diagnostics (OBD-II) port and often require a high amount of non-CAN external data. In this work, we present a non-invasive universal methodology for semi-automated CAN bus reverse engineering, which is based on the taxonomy of CAN signals. The data collection is simplified and its time reduced from the current standard of up to an hour to few minutes. A mean recall of around 80 % is obtained.
Disciplines :
Computer science
Author, co-author :
Buscemi, Alessio ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Turcanu, Ion; Luxembourg Institute of Science & Technology - LIST
German, Castignani; University of Luxembourg
Crunelle, Romain; Xee / Eliocity SAS
Engel, Thomas ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
yes
Language :
English
Title :
Poster: A Methodology for Semi-Automated CAN Bus Reverse Engineering
Publication date :
November 2021
Event name :
13th IEEE Vehicular Networking Conference
Event date :
from 10-11-2021 to 12-11-2021
Audience :
International
FnR Project :
FNR10621687 - Security And Privacy For System Protection, 2015 (01/01/2017-30/06/2023) - Sjouke Mauw
