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

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

2022International Journal of Critical Infrastructure Protection148 citationsDOIOpen Access PDF

Topics & Concepts

Anomaly detectionIntrusion detection systemMachine learningReinforcement learningArtificial intelligenceComputer scienceNetwork packetProcess (computing)Domain (mathematical analysis)Industrial control systemUnsupervised learningControl (management)Data miningData scienceEngineeringComputer securityMathematicsMathematical analysisOperating systemNetwork Security and Intrusion DetectionSmart Grid Security and ResilienceAnomaly Detection Techniques and Applications
Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations | Litcius