Real-time Botnet command and control characterization at the host level

A Botnet is a network of compromised machines which are controlled by a person called botmaster via a typical Command and Control (C&C) structure. Besides malicious activity on infected host, bots are employed to deliver attacks against outside targets including phishing, Distributed Denial of Service (DDoS) attacks and spamming. Counter measures against Botnet phenomenon are usually formed based on passive traffic analysis at network level. This limits encountering Botnets in a proactive manner. In this paper, we proposed a real-time approach which not only detects Botnet traffic on the host, but also can filter it from outgoing traffic in order to suppress the Botnet. Our approach works by detecting Botnet communication patterns which belongs to a centralized C&C structure. The capability of bot detection by real-time processing of host-related data solely, distinguishes our work from other existing approaches.