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IoMT Security: ML & DL for CIA Triad by Nuru Udin is a document available to read on EtoBox.

This study proposes a secure architectural framework for the Internet of Medical Things (IoMT) that integrates the CIA triad and authentication with Machine Learning (ML) and Deep Learning (DL) techniques to enhance security against cyber threats. The framework employs a hierarchical approach using both ML and DL models for real-time threat detection and response, achieving high detection accuracies of 96% and 98% respectively. The findings highlight the effectiveness of combining traditional security princ

Author

Nuru Udin

Language

EN