Self-learning Anomaly Detection in Industrial Production

• Tác giả: Ankush Meshram
• Ngôn ngữ: eng
• ISBN: KSP/1000152715
• Thông tin xuất bản: KIT Scientific Publishing 2023
• Mô tả vật lý: 1 electronic resource (224 p.)
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 374760
• Chủ đề: 1. Industrielles Steuerungssystem; 2. Netzwerksicherheit; 3. Netzwerk-Intrusion-Detection-System; 4. Anomalieerkennung; 5. selbstlernend; 6. Industrial Control System; 7. Network Security; 8. Network Intrusion Detection System; 9. Anomaly Detection; 10. self-learning; 11. Maths for computer scientists

Tóm tắt

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.