Detect unknown (zero-day) IoT attacks using unsupervised anomaly detection with deep autoencoders. Train only on normal traffic - no attack labels needed!
This project implements a deep learning anomaly detection system for multivariate time series sensor data (simulating NASA Turbofan jet engines). It uses an LSTM Autoencoder to learn the patterns of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback