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Author

Fazal Noorbasha

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Open access Sep 2026

DEEP LEARNING-DRIVEN NETWORK SECURITY THREAT IDENTIFICATION AND MITIGATION

The analysis highlights the growing role of deep learning in developing automated and adaptive security mechanisms and emphasizes the need for reliable datasets, suitable model selection, improved generalization, and explainable approaches for effective cybersecurity applications.

M. Priyanka, Debasish Saha Roy, J. Pradhan et al. · 0 citations

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