A Quantitative Logarithmic Transformation-Based Intrusion Detection System
Intrusion detection systems (IDS) play a vital role in protecting networks from malicious attacks. Modern IDS use machine-learning or deep-learning models to deal with the diversity of attacks that malicious users may employ. However, effective machine-learning methods incur a considerable cost in b...
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| Glavni autori: | , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
IEEE
2023-01-01
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| Serija: | IEEE Access |
| Teme: | |
| Online pristup: | https://ieeexplore.ieee.org/document/10050849/ |
| Oznake: |
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