Optimizing Intrusion Detection for DoS, DDoS, and Mirai Attacks Subtypes Using Hierarchical Feature Selection and CatBoost on the CICIoT2023 Dataset
Introduction: Modern networks suffer until unheard of vulnerabilities that need for advanced intrusion detection systems (IDS) given the growing danger presented by DoS, DDoS, and Mirai attacks. Research on the identification of certain attack subtypes is still lacking even with the CICIoT2023 datas...
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| Published in: | Data & metadata Vol. 3; p. 577 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
17.12.2024
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| ISSN: | 2953-4917, 2953-4917 |
| Online Access: | Get full text |
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