Fuzzy c-means sub-clustering with re-sampling in network intrusion detection
Both supervised and unsupervised learning are popularly used to address the classification problem in anomaly intrusion detection. The classical and challenging task in intrusion detection is how to identify and classify new attacks or variants of normal traffic. Though the classification rate is no...
| Main Authors: | , , , |
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| Format: | Book Section |
| Published: |
IEEE
2009
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| Subjects: |