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Self-learning Anomaly Detection in Industrial Production

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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...

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Bibliografiske detaljer
Hovedforfatter: Meshram, Ankush (auth)
Format: Electronisk Book Chapter
Sprog:engelsk
Udgivet: KIT Scientific Publishing 2023
Serier:Karlsruher Schriften zur Anthropomatik 59
Fag:
Maths for computer scientists
Industrielles Steuerungssystem; Netzwerksicherheit; Netzwerk-Intrusion-Detection-System; Anomalieerkennung; selbstlernend; Industrial Control System; Network Security; Network Intrusion Detection System; Anomaly Detection; self-learning
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