Abstract:Botnet is a major risk in network security. Hackers, in order to cover up the existence of a Botnet, tend to attack the real network site of the host computer by aid of the Fast-Flux network technology. Based on the study of the characteristics of the Fast-Flux network, a new intelligent automatic detection method is designed. The said method can easily spot the variable characteristics of the Fast-Flux network technology so that it can detect and track the network. The new detection method, designed within the acceptable system load(acceptable time consumption, and acceptable space complexity), is the optimal coping device for the detection of a Fast-Flux network, which not only can immensely save the detection time, but also can achieve a rather high success ratio of Fast-Flux network detection under different network environments