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...
Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | Elektronik Kitap Bölümü |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
KIT Scientific Publishing
2023
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| Seri Bilgileri: | Karlsruher Schriften zur Anthropomatik
59 |
| Konular: | |
| Online Erişim: | OAPEN Library: download the publication OAPEN Library: description of the publication |
| Etiketler: |
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| 020 | |a KSP/1000152715 | ||
| 040 | |a oapen |c oapen | ||
| 024 | 7 | |a 10.5445/KSP/1000152715 |c doi | |
| 041 | 0 | |a eng | |
| 042 | |a dc | ||
| 072 | 7 | |a UYAM |2 bicssc | |
| 100 | 1 | |a Meshram, Ankush |4 auth | |
| 245 | 1 | 0 | |a Self-learning Anomaly Detection in Industrial Production |
| 260 | |b KIT Scientific Publishing |c 2023 | ||
| 300 | |a 1 electronic resource (224 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Karlsruher Schriften zur Anthropomatik |v 59 | |
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Maths for computer scientists |2 bicssc | |
| 653 | |a Industrielles Steuerungssystem; Netzwerksicherheit; Netzwerk-Intrusion-Detection-System; Anomalieerkennung; selbstlernend; Industrial Control System; Network Security; Network Intrusion Detection System; Anomaly Detection; self-learning | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/bitstream/id/1b685dc9-cfea-4aa5-82f9-ac81e4b061ee/self-learning-anomaly-detection-in-industrial-production.pdf |7 0 |z OAPEN Library: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/handle/20.500.12657/63682 |7 0 |z OAPEN Library: description of the publication |