Optimized Intrusion Detection in the IoT Through Statistical Selection and Classification with CatBoost and SNN
With the rapid expansion of the Internet of Things (IoT), interconnected systems are becoming increasingly vulnerable to cyberattacks, making intrusion detection essential but difficult. The marked imbalance between regular traffic and attacks, as well as the redundancy of variables from multiple se...
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| Główni autorzy: | , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2025-09-01
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| Seria: | Technologies |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2227-7080/13/10/441 |
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