Clique-based multi-class oversampling with central and boundary instance strategies for intrusion detection
Abstract Intrusion detection systems are essential for maintaining network security, yet they often face severe class imbalance, especially in multi-class intrusion scenarios, which leads to biased learning and poor recognition of minority attacks. Traditional oversampling methods, such as SMOTE and...
Wedi'i Gadw mewn:
| Prif Awduron: | , , |
|---|---|
| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
Springer
2026-05-01
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| Cyfres: | Discover Artificial Intelligence |
| Pynciau: | |
| Mynediad Ar-lein: | https://doi.org/10.1007/s44163-026-01338-5 |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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