To obtain access to full text of journal and articles you must register!
- Article name
- The construction of fuzzy intrusion detection classifiers based greedy and genetic algorithms
- 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
Rubanov S. A., , , Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia
- Keywords
- intrusion detection system / fuzzy logic / genetic algorithms / fuzzy genetics-based rule classifier
- Year
- 2013 Issue 4 Pages 67 - 72
- Code EDN
- Code DOI
- Abstract
- The paper incorporate fuzzy logic, genetic algorithms and greedy algorithm into the classifying system based on fuzzy if-then rules to extract from network traffic data for classification. Genetic algorithms optimize the fuzzy classifier based on if-then rules. The experiments and evaluations of the proposed method were performed with the KDD-Cup-99 and NSL-KDD intrusion detection datasets.
- Text
- To obtain access to full text of journal and articles you must register!
- Buy
