Hybrid fuzzy techniques for unsupervised intrusion detection system
Network intrusion detection is a complex research problem especially when it deals with unknown patterns. Furthermore, if the amount of audit data instances is large, human labelling becomes tedious, time-consuming, and expensive. A technique which can enhance the learning capability of an anomaly i...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/18722/1/WitchaChimphleePFSKSM2008.pdf http://eprints.utm.my/id/eprint/18722/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:73804?queryType=vitalDismax&query=Hybrid+fuzzy+techniques+for+unsupervised+intrusion+detection+system+&public=true |
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http://eprints.utm.my/id/eprint/18722/1/WitchaChimphleePFSKSM2008.pdfhttp://eprints.utm.my/id/eprint/18722/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:73804?queryType=vitalDismax&query=Hybrid+fuzzy+techniques+for+unsupervised+intrusion+detection+system+&public=true