Android botnet detection dataset for machine learning

This dataset is generated from 6802 Android applications consisting of 1929 botnet apps from the ISCX botnet dataset and 4873 clean apps. The dataset has of 342 static features extracted from the apps and these features fall under 5 categories namely: API calls, Permissions, Extra (binary) files, Commands and Intents. The 1929 botnet apps consists of 14 different families. The dataset has been used to study different machine learning and deep learning techniques as described in the related papers.