Fast learning hyper-heuristic framework for Intrusion Detection System (IDS)
Detecting cybersecurity attacks remains a challenging problem. This challenge arises from the evolving nature of attacks, a phenomenon commonly referred to as concept drift in machine learning. To address this issue, hyper-heuristic models have been identified as an effective approach. However, the...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
International Information and Engineering Technology Association
2026
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/124130/1/124130.pdf http://psasir.upm.edu.my/id/eprint/124130/ https://iieta.org/journals/jesa/paper/10.18280/jesa.590102 |
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