Reference : Poster: A Methodology for Semi-Automated CAN Bus Reverse Engineering
Scientific congresses, symposiums and conference proceedings : Poster
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/48440
Poster: A Methodology for Semi-Automated CAN Bus Reverse Engineering
English
Buscemi, Alessio mailto [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) >]
Nov-2021
Yes
International
13th IEEE Vehicular Networking Conference
from 10-11-2021 to 12-11-2021
[en] CAN Bus ; Reverse Engineering ; In-Vehicle Networks
[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.
Fonds National de la Recherche - FnR
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/48440
FnR ; FNR10621687 > Sjouke Mauw > SPsquared > Security And Privacy For System Protection > 01/01/2017 > 30/06/2023 > 2015

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