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2205.01306
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CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level
3 May 2022
Md Hasan
Member Ieee Yang Xiao
Senior Member Ieee Pablo Moriano
Fellow Ieee Wenjing Lou
F. I. Y. Thomas Hou
Re-assign community
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Papers citing
"CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level"
7 / 7 papers shown
Title
Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review
Pablo Moriano
Steven C. Hespeler
Mingyan Li
Maria Mahbub
AAML
80
0
0
21 Nov 2024
Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning
William Marfo
Pablo Moriano
Deepak K. Tosh
Shirley V. Moore
42
3
0
10 Aug 2024
Benchmarking Unsupervised Online IDS for Masquerade Attacks in CAN
Pablo Moriano
Steven C. Hespeler
Mingyan Li
Robert A. Bridges
AAML
41
2
0
19 Jun 2024
CANflict: Exploiting Peripheral Conflicts for Data-Link Layer Attacks on Automotive Networks
Alvise de Faveri Tron
Stefano Longari
Michele Carminati
Mario Polino
S. Zanero
AAML
32
16
0
20 Sep 2022
TENET: Temporal CNN with Attention for Anomaly Detection in Automotive Cyber-Physical Systems
S. V. Thiruloga
Vipin Kumar Kukkala
S. Pasricha
45
23
0
09 Sep 2021
LATTE: LSTM Self-Attention based Anomaly Detection in Embedded Automotive Platforms
Vipin Kumar Kukkala
S. V. Thiruloga
S. Pasricha
47
24
0
12 Jul 2021
A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset
Miki E. Verma
Robert A. Bridges
Michael D. Iannacone
Samuel C. Hollifield
Pablo Moriano
Steven C. Hespeler
Bill Kay
Frank L. Combs
AAML
40
36
0
29 Dec 2020
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