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What is Clustering for Anomaly Detection in ICS about?

This paper presents a clustering-based approach for anomaly detection in Networked Critical Infrastructures (NCI) using Big Data technologies, specifically the Hadoop implementation of the MapReduce paradigm. The proposed method leverages various clustering techniques to analyze large datasets from industrial control systems, with a focus on real-time detection of cyber attacks. A case study involving gas compressor stations is used to evaluate the effectiveness of the approach in identifying potential anom

Author

seyedadel2022

Language

EN