Self-learning Anomaly Detection in Industrial Production

Self-learning Anomaly Detection in Industrial Production
Author :
Publisher : KIT Scientific Publishing
Total Pages : 224
Release :
ISBN-10 : 9783731512578
ISBN-13 : 3731512572
Rating : 4/5 (572 Downloads)

Book Synopsis Self-learning Anomaly Detection in Industrial Production by : Meshram, Ankush

Download or read book Self-learning Anomaly Detection in Industrial Production written by Meshram, Ankush and published by KIT Scientific Publishing. This book was released on 2023-06-19 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Self-learning Anomaly Detection in Industrial Production Related Books

Self-learning Anomaly Detection in Industrial Production
Language: en
Pages: 224
Authors: Meshram, Ankush
Categories:
Type: BOOK - Published: 2023-06-19 - Publisher: KIT Scientific Publishing

GET EBOOK

Configuring an anomaly-based Network Intrusion Detection System for cybersecurity of an industrial system in the absence of information on networking infrastruc
Proceedings of the 2018 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Language: en
Pages: 136
Authors: Beyerer, Jürgen
Categories: Computers
Type: BOOK - Published: 2019-07-12 - Publisher: KIT Scientific Publishing

GET EBOOK

Outlier Analysis
Language: en
Pages: 481
Authors: Charu C. Aggarwal
Categories: Computers
Type: BOOK - Published: 2016-12-10 - Publisher: Springer

GET EBOOK

This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machin
Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving
Language: en
Pages: 236
Authors: Kalb, Tobias Michael
Categories:
Type: BOOK - Published: 2024-10-21 - Publisher: KIT Scientific Publishing

GET EBOOK

Deep learning excels at extracting complex patterns but faces catastrophic forgetting when fine-tuned on new data. This book investigates how class- and domain-
Outlier Ensembles
Language: en
Pages: 288
Authors: Charu C. Aggarwal
Categories: Computers
Type: BOOK - Published: 2017-04-06 - Publisher: Springer

GET EBOOK

This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In a