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 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.

Product details

• Authors: Ankush Meshram
• Publisher: KIT Scientific Publishing
• Languages: English
• Product format: Paperback / Softback
• Released: 19.06.2023
• EAN: 9783731512578
• ISBN: 978-3-7315-1257-8
• No. of pages: 226
• Dimensions: 148 mm x 13 mm x 210 mm
• Weight: 430 g
• Illustrations: graph. Darst.
• Series: Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT