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most citedMachine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

3 citations · 6 across the 9 of their papers we have counts for

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cs.CR2024★ 3 cited

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin +4

Cybersecurity has emerged as a critical global concern. Intrusion Detection Systems (IDS) play a critical role in protecting interconnected networks by detecting malicious actors a…