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This project implements a machine learning system for detecting and classifying attacks on Internet of Medical Things (IoMT) networks. It processes network traffic data to identify various attack types including DDoS, DoS, ARP spoofing, reconnaissance, and malformed MQTT packets, providing a foundation for real-time security monitoring.
vlbotis/IoMTSec
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This project implements a machine learning system for detecting and classifying attacks on Internet of Medical Things (IoMT) networks. It processes network traffic data to identify various attack types including DDoS, DoS, ARP spoofing, reconnaissance, and malformed MQTT packets, providing a foundation for real-time security monitoring.
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