Open access dataset used in the article
Crypto-ransomware detection using machine learning models in file-sharing network scenario with encrypted traffic

This dataset directory contains the 'infected' and 'not infected' samples and the models used for each T configuration, each one in a separated folder.

Each folder (for example 10s/) contains 8 files:

The six models present in each folder are the configuration reached training it with the train_data.csv file. The validation and the measurement of the data lost have been done with the FPtest_data.csv and the zeroDays.csv files respectively.

The files containing samples (train_data.csv, zeroDays.csv and FPtest_data.csv) are structured as follows:

Download the compressed dataset (44MB)