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Machine Learning for Intrusion Detection in Industrial Control Systems:
  Applications, Challenges, and Recommendations

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
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
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
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
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
Critical Infrastructure Security Goes to Space: Leveraging Lessons Learned on the Ground
Tim Ellis
Briland Hitaj
Ulf Lindqvist
Deborah Shands
L. Tinnel
Bruce DeBruhl
14
0
0
26 Sep 2023
Anomaly Detection Dataset for Industrial Control Systems
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
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
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
18
24
0
18 May 2022
Attack Rules: An Adversarial Approach to Generate Attacks for Industrial
  Control Systems using Machine Learning
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
1