Ultimate Encrypted Traffic Feature Engineering: HTTPS Encrypted Traffic Classification Using Restored Application Data Unit Length

This research presents a method to classify encrypted internet traffic (HTTPS, a protocol that scrambles data sent over the internet) by reconstructing the original application data sizes hidden beneath encryption layers. The researchers developed an algorithm called LC-MRNN (Length-Correction Multiple Regression Neural Network, a type of machine learning model) to accurately restore these hidden data lengths, which helps network administrators and security teams identify what applications users are running, even when the actual data is encrypted.