Standardized container virtualization approach for collecting host intrusion detection data
| Autor: | Martin Max Rohling, Martin Grimmer, Bogdan Franczyk, Jörn Hoffmann, Dennis Kreubel |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry Information technology 020206 networking & telecommunications Context (language use) 02 engineering and technology Intrusion detection system Virtualization computer.software_genre Container (abstract data type) 0202 electrical engineering electronic engineering information engineering Systems architecture 020201 artificial intelligence & image processing Data mining business Host (network) computer |
| Zdroj: | FedCSIS |
| ISSN: | 2300-5963 |
| DOI: | 10.15439/2019f212 |
| Popis: | Anomaly-based Intrusion Detection Systems (IDS) can be instrumental in detecting attacks on IT systems. For evaluation and training of IDS, data sets containing samples of common security-scenarios are essential. Existing data sets are not sufficient for training modern IDS. This work introduces a new methodology for recording data that is useful in the context of intrusion detection. The approach presented is comprised of a system architecture as well as a novel framework for simulating security-related scenarios. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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