Reference : Preventing Frame Fingerprinting in Controller Area Network Through Traffic Mutation
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/50606
Preventing Frame Fingerprinting in Controller Area Network Through Traffic Mutation
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]
Castignani, German [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Engel, Thomas [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
May-2022
IEEE ICC 2022 Workshop - DDINS, Seoul 16-20 May 2022
Yes
IEEE ICC 2022 Workshop - DDINS
from 16-05-2022 to 20-05-2022
[en] Connected Vehicles Security ; CAN Bus Reverse Engineering ; Fingerprinting ; Morphing ; Machine Learning
[en] The continuous increase of connectivity in commercial vehicles is leading to a higher number of remote access points to the Controller Area Network (CAN) – the most popular in-vehicle network system. This factor, coupled with the absence of encryption in the communication protocol, poses serious threats to the security of the CAN bus. Recently, it has been demonstrated that CAN data can be reverse engineered via frame fingerprinting, i.e., identification of frames based on statistical traffic analysis. Such a methodology allows fully remote decoding of in-vehicle data and paves the way for remote pre-compiled vehicle-agnostic attacks. In this work, we propose a first solution against CAN frame fingerprinting based on mutating the traffic without applying modifications to the CAN protocol. The results show that the proposed methodology halves the accuracy of CAN frame fingerprinting.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/50606
FnR ; FNR10621687 > Sjouke Mauw > SPsquared > Security And Privacy For System Protection > 01/01/2017 > 30/06/2023 > 2015

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