Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations Article Swipe

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Muhammad Umer , Khurum Nazir Junejo , Muhammad Taha Jilani , Aditya P. Mathur ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1016/j.ijcip.2022.100516

Related Topics

Anomaly Detection

Machine Learning

Reinforcement Learning

Artificial Intelligence

Mathematical Analysis

Concepts

Anomaly detection Intrusion detection system Machine learning Reinforcement learning Artificial intelligence Computer science Network packet Process (computing) Domain (mathematical analysis) Industrial control system Unsupervised learning Control (management) Data mining Data science Engineering Computer security Mathematics Mathematical analysis Operating system

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.ijcip.2022.100516
OA Status: green
Cited By: 117
References: 314
Related Works: 10
OpenAlex ID: https://openalex.org/W4212795178

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DOI: https://doi.org/10.1016/j.ijcip.2022.100516

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Title: Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-02-17

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Authors: Muhammad Umer, Khurum Nazir Junejo, Muhammad Taha Jilani, Aditya P. Mathur

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Landing page: https://doi.org/10.1016/j.ijcip.2022.100516

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OA status: green

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OA URL: https://arxiv.org/pdf/2202.11917

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Concepts: Anomaly detection, Intrusion detection system, Machine learning, Reinforcement learning, Artificial intelligence, Computer science, Network packet, Process (computing), Domain (mathematical analysis), Industrial control system, Unsupervised learning, Control (management), Data mining, Data science, Engineering, Computer security, Mathematics, Mathematical analysis, Operating system

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Cited by: 117

Total citation count in OpenAlex
Citations by year (recent): 2025: 27, 2024: 36, 2023: 41, 2022: 13

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References (count): 314

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abstract_inverted_index
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sustainable_development_goals[0].id	https://metadata.un.org/sdg/9
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sustainable_development_goals[0].display_name	Industry, innovation and infrastructure
citation_normalized_percentile.value	0.99561636
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citation_normalized_percentile.is_in_top_10_percent	True