Self-learning Anomaly Detection in Industrial Production

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Self-learning Anomaly Detection in Industrial Production is written by Meshram, Ankush and published by KIT Scientific Publishing. It's available with International Standard Book Number or ISBN identification 3731512572 (ISBN 10) and 9783731512578 (ISBN 13).

Configuring an anomaly-based Network Intrusion Detection System for cybersecurity of an industrial system in the absence of information on networking infrastructure and programmed deterministic industrial process is challenging. Within the research work, different self-learning frameworks to analyze passively captured network traces from PROFINET-based industrial system for protocol-based and process behavior-based anomaly detection are developed, and evaluated on a real-world industrial system.