Botnet Identification System Using Clustering and Machine Learning C5.0
One of the most significant current issues in computer network security is botnet. It is an active focus in the research community and industry due to sharp rise of attacks on individual and organizational computers. Botnet is a massive network of compromised computers used to attack other computer systems for malicious intent. Botnets are one of the most catastrophic threats against the cyber security. Recently, HTTP protocol is frequently utilized by botnets as the Command and Communication (C&C) protocol. In this paper, the authors aim to detect botnet activity based on machine learning approach.