Hybrid of fuzzy clustering neural network over NSL dataset for intrusion detection system
Intrusion Detection System (IDS) is one of the component that take part in the system defence, to identify abnormal activities happening in the computer system. Nowadays, IDS facing composite demands to defeat modern attack activities from damaging the computer systems. Anomaly-Based IDS examines on...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Science Publications
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/30553/ http://psasir.upm.edu.my/id/eprint/30553/1/Hybrid%20of%20fuzzy%20clustering%20neural%20network%20over%20NSL%20dataset%20for%20intrusion%20detection%20system.pdf |