Botnets have become an important issue in the domain of computer and network security as they serve as platform of many threats such as spam, denial of service attacks, phishing, data thefts, and online frauds and so on. Most of the popular botnet detection methods consist of monitoring the network, capturing packets and processing them in a format suitable for botnet detection, the traffic flows. Traffic flows are then inspected to detect malicious traffic. State of the art Botnet Detectors exploit machine learning techniques to detect malicious traffic flows. Usually, the structure and the internal parameters of these models are not observable from the outside and, therefore, they are considered black-box models.