Collaboration-based Botnet Detection Architecture

With the rapid prevalence of botnet, Internet is facing growing threats. Botnet detection has recently become very important in the field of network security. Aiming at the weakness of the existing botnet detection architectures, we propose a hierarchical collaborative model, which shares information and cooperates in the three levels of information, feature, and decision-making. On the basis of the proposed model, we design a collaboration-based botnet detection architecture in this paper. With a novel feature extraction module, the architecture is able to extract the essential features of botnet from a variety of data. We believe that the architecture could improve detection accuracy and enhance detection capability.