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X-CANIDS: Signal-Aware Explainable Intrusion Detection System for
  Controller Area Network-Based In-Vehicle Network

X-CANIDS: Signal-Aware Explainable Intrusion Detection System for Controller Area Network-Based In-Vehicle Network

22 March 2023
S. Jeong
Sanghoon Lee
Hwejae Lee
H. Kim
    AAML
ArXivPDFHTML

Papers citing "X-CANIDS: Signal-Aware Explainable Intrusion Detection System for Controller Area Network-Based In-Vehicle Network"

5 / 5 papers shown
Title
A Survey of Anomaly Detection in In-Vehicle Networks
A Survey of Anomaly Detection in In-Vehicle Networks
Ovgu Ozdemir
M. Tuğberk İşyapar
Pınar Karagöz
Klaus Werner Schmidt
Demet Demir
N. A. Karagoz
28
0
0
11 Sep 2024
Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for
  Zero-Day Attack Detection in IoV
Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV
Abdelaziz Amara Korba
Abdelwahab Boualouache
Y. Ghamri-Doudane
35
16
0
03 Jul 2024
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review
  and Research Roadmap
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap
Sule Tekkesinoglu
Azra Habibovic
Lars Kunze
37
3
0
19 Mar 2024
MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection
  System for Control Area Network
MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network
Pengzhou Cheng
Zongru Wu
Gongshen Liu
26
1
0
07 Mar 2024
REACT: Autonomous Intrusion Response System for Intelligent Vehicles
REACT: Autonomous Intrusion Response System for Intelligent Vehicles
Mohammad Hamad
Andreas Finkenzeller
Michael Kuhr
Andrew Roberts
Olaf Maennel
V. Prevelakis
Sebastian Steinhorst
23
4
0
09 Jan 2024
1