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- Article name
- Fuzzy data mining applied to intrusion detection
- Authors
- Hodashinsky I. A., , hodashn@rambler.ru, Tomsk State University of control systems and radioelectronics, Russia
Mescheriakov R. V., , mrv@security.tomsk.ru, Tomsk State University of control systems and radioelectronics, Russia
Gorbunov I. V., , noby.Ardor@gmail.com, Tomsk State University of control systems and radioelectronics, Russia
- Keywords
- intrusion detection / data mining / fuzzy association rules / fuzzy classifiers
- Year
- 2012 Issue 1 Pages 45 - 50
- Code EDN
- Code DOI
- Abstract
- Intrusion detection is considered as a process of knowledge extraction. An overview of two approaches to the knowledge extraction: fuzzy association rules and fuzzy classifiers. Methods are described for the formation of fuzzy rules.
- Text
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