2 options
Self-learning anomaly detection in industrial production/ Ankush Meshram.
- Format:
- Book
- Author/Creator:
- Meshram, Ankush, author.
- Series:
- Karlsruher Schriften zur Anthropomatik, 59.
- Language:
- English
- Subjects (All):
- Computer security--Industrial systems.
- Computer security.
- Machine learning--Industrial applications.
- Machine learning.
- Physical Description:
- 1 online resource
- Place of Publication:
- Karlsruher : KIT Scientific Publishing, 2022.
- Summary:
- 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.
- Notes:
- Includes bibliographical references (pages) and index.
- Part of the metadata in this record was created with the help of AI Metadata Assistant
- ISBN:
- 9783731512578
- 3731512572
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