Abstract
Fast Flux service network is the main threats to network security at present. By quickly changing IP address, the location of servers can be hidden and agents can be provided for botnet. In this paper, a detection method of fast flux service network is proposed, which narrows the detection range through pretreatment, then constructs the detection features, and accurately distinguishes FFSN from legitimate network. Finally, decision tree algorithm is used to obtain the ideal results.
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