Ensemble of one-class classifiers for network intrusion detection system
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensemble of one-class classifiers where each uses different learning paradigms. The techniques deployed in this ensemble model a...
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| Pengarang-pengarang Utama: | , , , |
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| Format: | Book Section |
| Diterbitkan: |
Institute of Electrical and Electronics Engineers
2008
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| Subjek-subjek: | |
| Capaian Atas Talian: | http://eprints.utm.my/12556/ http://eprints.utm.my/12556/ http://eprints.utm.my/12556/ |
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