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P. P. Bairagi

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Open access Aug 2026

Adaptive Machine Learning Framework for Real-Time Cyber-Attack Detection and Prevention in IoT Networks

This paper introduces an innovative ML-based security paradigm that improves the attack detection accuracy by combining adaptive feature extraction techniques with a context-attentive hybrid mechanism and maximizes detection accuracy and computational efficiency.

P. P. Bairagi, Ashish Bagwari, Sailen Dutta Kalita et al. · 0 citations