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2202.11917
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Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations
24 February 2022
Muhammad Azmi Umer
K. N. Junejo
Muhammad Taha Jilani
A. Mathur
AI4CE
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Papers citing
"Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations"
9 / 9 papers shown
Title
Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems
Abdul Mustafa
Muhammad Talha Khan
Muhammad Azmi Umer
Zaki Masood
Chuadhry Mujeeb Ahmed
AAML
46
0
0
06 May 2025
Machine Learning-Assisted Intrusion Detection for Enhancing Internet of Things Security
Mona Esmaeili
Morteza Rahimi
Hadise Pishdast
Dorsa Farahmandazad
Matin Khajavi
Hadi Jabbari Saray
40
4
0
01 Oct 2024
Deep Reinforcement Learning for Intrusion Detection in IoT: A Survey
Afrah Gueriani
Hamza Kheddar
A. Mazari
27
13
0
30 May 2024
SoK: Evaluations in Industrial Intrusion Detection Research
Olav Lamberts
Konrad Wolsing
Eric Wagner
Jan Pennekamp
Jan Bauer
Klaus Wehrle
Martin Henze
27
6
0
06 Nov 2023
Critical Infrastructure Security Goes to Space: Leveraging Lessons Learned on the Ground
Tim Ellis
Briland Hitaj
Ulf Lindqvist
Deborah Shands
L. Tinnel
Bruce DeBruhl
16
0
0
26 Sep 2023
Anomaly Detection Dataset for Industrial Control Systems
Alireza Dehlaghi-Ghadim
M. H. Moghadam
A. Balador
Hans Hansson
10
23
0
11 May 2023
Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
Hamza Kheddar
Yassine Himeur
A. Awad
AI4CE
24
61
0
19 Apr 2023
A False Sense of Security? Revisiting the State of Machine Learning-Based Industrial Intrusion Detection
Dominik Kus
Eric Wagner
Jan Pennekamp
Konrad Wolsing
I. Fink
Markus Dahlmanns
Klaus Wehrle
Martin Henze
21
24
0
18 May 2022
Attack Rules: An Adversarial Approach to Generate Attacks for Industrial Control Systems using Machine Learning
Muhammad Azmi Umer
Chuadhry Mujeeb Ahmed
Muhammad Taha Jilani
A. Mathur
AAML
17
14
0
11 Jul 2021
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