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CANShield: Deep Learning-Based Intrusion Detection Framework for
  Controller Area Networks at the Signal-Level

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
ArXivPDFHTML

Papers citing "CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level"

5 / 5 papers shown
Title
Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review
Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review
Pablo Moriano
Steven C. Hespeler
Mingyan Li
Maria Mahbub
AAML
75
0
0
21 Nov 2024
Benchmarking Unsupervised Online IDS for Masquerade Attacks in CAN
Benchmarking Unsupervised Online IDS for Masquerade Attacks in CAN
Pablo Moriano
Steven C. Hespeler
Mingyan Li
Robert A. Bridges
AAML
27
2
0
19 Jun 2024
CANflict: Exploiting Peripheral Conflicts for Data-Link Layer Attacks on
  Automotive Networks
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
26
16
0
20 Sep 2022
TENET: Temporal CNN with Attention for Anomaly Detection in Automotive
  Cyber-Physical Systems
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
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
1