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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callSimilar Papers
More From: Journal of Physics: Conference Series
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
