Abstract: The data produced by millions of connected devices and smart sensors in the Industrial Internet of Things (IIoT) is highly dynamic, large-scale, heterogeneous, and time-stamped. These ...

This project implements a Network Intrusion Detection System using unsupervised machine learning techniques like Isolation Forests and Autoencoders to detect anomalous patterns in network traffic.

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