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A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset

A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset

29 December 2020
Miki E. Verma
Robert A. Bridges
Michael D. Iannacone
Samuel C. Hollifield
Pablo Moriano
Steven C. Hespeler
Bill Kay
Frank L. Combs
    AAML
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Papers citing "A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset"

5 / 5 papers shown
Title
Efficient Client Selection in Federated Learning
Efficient Client Selection in Federated Learning
William Marfo
Deepak K. Tosh
Shirley V. Moore
FedML
41
7
0
25 Jan 2025
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
80
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
33
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
32
16
0
20 Sep 2022
Detecting CAN Masquerade Attacks with Signal Clustering Similarity
Detecting CAN Masquerade Attacks with Signal Clustering Similarity
Pablo Moriano
Robert A. Bridges
Michael D. Iannacone
30
11
0
07 Jan 2022
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