Impact of dataset balancing on machine learning-based intrusion detection systems
Intrusion Detection Systems (IDS) are indispensable for cybersecurity, as they safeguard networks from increasingly sophisticated and sophisticated cyberattacks. This paper assesses the influence of dataset balancing on the performance of machine learning-based IDS, thereby addressing the challenge...
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| Main Authors: | , , , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
IEEE
2024
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/114534/7/114534_Impact%20of%20dataset%20balancing.pdf http://irep.iium.edu.my/114534/ https://ieeexplore.ieee.org/document/10675568 |
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