Malicious Domain Detection Based on Machine Learning

Abstract

At present, malicious domain detection, especially malicious domain detection based on machine learning, is one of the research hotspot in network security field. In this paper, we first introduce the background knowledge of malicious domain detection and classify the malicious domain according to its malicious behavior. And then we focus on a survey on the detection research of C&C (Command and Control) domain in Fast-flux botnets and Domain-flux botnets which are the most popular and the most challenging. In the end, we also explore some potential future issues in malicious domain detection research.