Fast-Flux Service Networks Visualization Grouping Base On Label Propagation Algorithms and Euclidean Distance Formula
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...
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ndltd-TW-104YUNT03960522017-08-27T04:30:06Z http://ndltd.ncl.edu.tw/handle/46481852569553338280 Fast-Flux Service Networks Visualization Grouping Base On Label Propagation Algorithms and Euclidean Distance Formula 基於標籤傳播演算法與歐氏距離公式之動態惡意域名服務網路可視化分群 HSU,CHUAN-YU 許筌淯 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. KOO,TUNG-MING 古東明 2016 學位論文 ; thesis 51 zh-TW |
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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.
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KOO,TUNG-MING |
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KOO,TUNG-MING HSU,CHUAN-YU 許筌淯 |
author |
HSU,CHUAN-YU 許筌淯 |
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HSU,CHUAN-YU 許筌淯 Fast-Flux Service Networks Visualization Grouping Base On Label Propagation Algorithms and Euclidean Distance Formula |
author_sort |
HSU,CHUAN-YU |
title |
Fast-Flux Service Networks Visualization Grouping Base On Label Propagation Algorithms and Euclidean Distance Formula |
title_short |
Fast-Flux Service Networks Visualization Grouping Base On Label Propagation Algorithms and Euclidean Distance Formula |
title_full |
Fast-Flux Service Networks Visualization Grouping Base On Label Propagation Algorithms and Euclidean Distance Formula |
title_fullStr |
Fast-Flux Service Networks Visualization Grouping Base On Label Propagation Algorithms and Euclidean Distance Formula |
title_full_unstemmed |
Fast-Flux Service Networks Visualization Grouping Base On Label Propagation Algorithms and Euclidean Distance Formula |
title_sort |
fast-flux service networks visualization grouping base on label propagation algorithms and euclidean distance formula |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/46481852569553338280 |
work_keys_str_mv |
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1718519694227406848 |