Self-learning Anomaly Detection in Industrial Production

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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Bibliografische gegevens
Hoofdauteur:	Meshram, Ankush (auth)
Formaat:	Elektronisch Hoofdstuk
Taal:	Engels
Gepubliceerd in:	KIT Scientific Publishing 2023
Reeks:	Karlsruher Schriften zur Anthropomatik 59
Onderwerpen:	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
Online toegang:	OAPEN Library: download the publication OAPEN Library: description of the publication
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Self-learning Anomaly Detection in Industrial Production door Meshram, Ankush

Gepubliceerd in 2023

DOAB: download the publication
DOAB: description of the publication

Elektronisch Hoofdstuk

Self-learning Anomaly Detection in Industrial Production

Self-learning Anomaly Detection in Industrial Production door Meshram, Ankush

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