Fast-Flux Service Networks Visualization Grouping Base On Label Propagation Algorithms and Euclidean Distance Formula

• Main Authors: HSU,CHUAN-YU, 許筌淯
• Other Authors: KOO,TUNG-MING
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/46481852569553338280

碩士 === 國立雲林科技大學 === 資訊管理系 === 104 === Fast-Flux Service Networks(FFSN) this technology is currently the most widely used are the perpetrators of attack, this technology is that multiple distributed servers use a same host name to achieve load balancing and hide attackers in a group of proxy servers (agent). these may be the agent botnets collection, That will be not easy to make the back-end to query and it’s more difficult to external detect and killing system to find the zombies controller (bot master). Otherwise, there are same attacker in Flux-Agent cluster. this study use the clustering method to find the FFSN Agent distribution result and use Label Propagation Algorithm, Euclidean Distance, and Gephi software to show the clustering result , by clustering result after the data for the analysis, understand the threat FFSN caused.