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...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Meshram, Ankush
Format:	Online
Sprache:	Englisch
Veröffentlicht:	KIT Scientific Publishing 2023
Schlagworte:	Industrielles Steuerungssystem; Netzwerksicherheit; Netzwerk-Intrusion-Detection-System; Anomalieerkennung; selbstlernend; Industrial Control System; Network Security; Network Intrusion Detection System; Anomaly Detection; self-learning thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
Online-Zugang:	https://library.oapen.org/handle/20.500.12657/63682
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