About this document
Botnet Detection via Feature Selection by muhammad taufiq is a document available to read on EtoBox.
This document presents a novel method for feature selection to detect botnets during their Command and Control (C&C) phase using machine learning algorithms. A genetic algorithm is used to select the set of network connection-based features that maximizes the detection rate when classified using the C4.5 machine learning algorithm. Related work on botnet detection during C&C involved proposing features based on expertise without systematic evaluation, or selecting features from predefined groups, rather tha
- Author
- muhammad taufiq
- Language
- EN