Dublin Core
Title
Self-learning Anomaly Detection in Industrial Production : Dissertations in Series (Dissertationen in Schriftenreihe)
Subject
Industrielles Steuerungssystem; Netzwerksicherheit; Netzwerk-Intrusion-Detection-System; Anomalieerkennung; selbstlernend; Industrial Control System; Network Security; Network Intrusion Detection System; Anomaly Detection; self-learning
Description
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.
Creator
Meshram, Ankush
Source
https://library.oapen.org/handle/20.500.12657/63682
Publisher
KIT Scientific Publishing
Date
2023
Contributor
Indah Fatma Silvi
Rights
https://creativecommons.org/licenses/by-sa/4.0/
Format
Pdf
Language
English
Type
Textbooks
Identifier
10.5445/KSP/1000152715
9783731512578
9783731512578