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B. G

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Open access Jul 2026

CyberNet-IDS: An AI-Driven Framework for Real-Time Cyber Attack Detection Using Deep Learning

Rising numbers of cyber threats require real-time, intelligent IDSs that are not only based on signatures or shallow ML models. Such systems often provide poor generalisation and high false alarms, especially in cases involving more complex temporal dependencies in network traffic. Although recent developments in deep...

Ramu Moodu, R. B, S. K et al. · 0 citations

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