Dépôt institutionnel de l'universite Freres Mentouri Constantine 1
Lowering features to optimizing intrusion detection
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| dc.contributor.author | Benaissa, Safa | |
| dc.date.accessioned | 2025-03-18T11:08:22Z | |
| dc.date.available | 2025-03-18T11:08:22Z | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | http://depot.umc.edu.dz/handle/123456789/14542 | |
| dc.description.abstract | he exponential development of digital technology exposes systems to increasingly high security risks, making intrusion detection a major issue in this context. In this study, the authors present a two-step approach. First, three attribute evaluators are used to reduce the dimensionality of the dataset and select the relevant attributes | fr_FR |
| dc.title | Lowering features to optimizing intrusion detection | fr_FR |
| dc.type | Article | fr_FR |
