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Detecting message modification attacks on the CAN bus with Temporal Convolutional Networks

Detecting message modification attacks on the CAN bus with Temporal Convolutional Networks

I. Chiscop
András Gazdag
Joost Bosman
G. Biczók
    AAML
ArXiv (abs)PDFHTML

Papers citing "Detecting message modification attacks on the CAN bus with Temporal Convolutional Networks"

5 / 5 papers shown
Title
INDRA: Intrusion Detection using Recurrent Autoencoders in Automotive Embedded Systems
INDRA: Intrusion Detection using Recurrent Autoencoders in Automotive Embedded Systems
Vipin Kumar Kukkala
S. V. Thiruloga
S. Pasricha
AAML
48
42
0
17 Jul 2020
Automatic Driver Identification from In-Vehicle Network Logs
Automatic Driver Identification from In-Vehicle Network Logs
Mina Remeli
Szilvia Lestyán
G. Ács
G. Biczók
29
16
0
25 Oct 2019
CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data
CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data
Markus Hanselmann
Thilo Strauss
Katharina Dormann
Holger Ulmer
47
162
0
06 Jun 2019
Extracting vehicle sensor signals from CAN logs for driver re-identification
Extracting vehicle sensor signals from CAN logs for driver re-identification
Szilvia Lestyán
G. Ács
G. Biczók
Z. Szalay
26
23
0
24 Feb 2019
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
406
7,414
0
12 Sep 2016

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