Can I read ML IoT Security Project Report on EtoBox?

ML IoT Security Project Report by harithbharan3101 is a document available to read on EtoBox.

What is ML IoT Security Project Report about?

The document outlines a comprehensive ML-based Intrusion Detection System (ML-IDS) for IoT networks, achieving 98.7% detection accuracy across 247 monitored devices with a 3ms edge inference latency. It employs multiple ML algorithms, including Random Forest, LSTM, and XGBoost, to classify various attack types while ensuring privacy through federated learning. The report details the project architecture, data preprocessing, model performance, and deployment strategies, highlighting the system

Author

harithbharan3101

Language

EN