Estimating the Size of Fast-Flux Service Networks Based on Capture-Recapture Method
碩士 === 國立雲林科技大學 === 資訊管理系碩士班 === 100 === The purpose of this study is to estimate the group size of Fast-Flux Service Network (FFSN.) FFSN is one of the enormous threats of internet. It can hide the attackers behind a group of agents and by this way the attackers can avoid being detected. The benefi...
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ndltd-TW-100YUNT53960252015-10-13T21:55:45Z http://ndltd.ncl.edu.tw/handle/55415733897647574305 Estimating the Size of Fast-Flux Service Networks Based on Capture-Recapture Method 基於重複補取法之動態惡意域名服務網路規模估計 Yu-yan Lin 林玉燕 碩士 國立雲林科技大學 資訊管理系碩士班 100 The purpose of this study is to estimate the group size of Fast-Flux Service Network (FFSN.) FFSN is one of the enormous threats of internet. It can hide the attackers behind a group of agents and by this way the attackers can avoid being detected. The benefit of FFSN to attackers is the malicious websites can be protected and the survival time can be prolonged. The danger of FFSN is getting more serious and Flux-Agent could be a Bot note. To estimate the size of FFSN can find the danger degree but to estimate the size is not easy. Hence, this study uses Capture-Recapture Method (CRM) to estimate the group size of Flux-Agent. By computing the joint hypergeometric maximum likelihood estimator (JHE) of Program NOREMARK, the group size can be found. The experiment needs just the query samples among six days before and the group size of FFSN can be found. The experiment result can more quickly find the group size than census can. Tung-ming Koo 古東明 2012 學位論文 ; thesis 80 zh-TW |
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碩士 === 國立雲林科技大學 === 資訊管理系碩士班 === 100 === The purpose of this study is to estimate the group size of Fast-Flux Service Network (FFSN.) FFSN is one of the enormous threats of internet. It can hide the attackers behind a group of agents and by this way the attackers can avoid being detected. The benefit of FFSN to attackers is the malicious websites can be protected and the survival time can be prolonged. The danger of FFSN is getting more serious and Flux-Agent could be a Bot note. To estimate the size of FFSN can find the danger degree but to estimate the size is not easy. Hence, this study uses Capture-Recapture Method (CRM) to estimate the group size of Flux-Agent. By computing the joint hypergeometric maximum likelihood estimator (JHE) of Program NOREMARK, the group size can be found. The experiment needs just the query samples among six days before and the group size of FFSN can be found. The experiment result can more quickly find the group size than census can.
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author2 |
Tung-ming Koo |
author_facet |
Tung-ming Koo Yu-yan Lin 林玉燕 |
author |
Yu-yan Lin 林玉燕 |
spellingShingle |
Yu-yan Lin 林玉燕 Estimating the Size of Fast-Flux Service Networks Based on Capture-Recapture Method |
author_sort |
Yu-yan Lin |
title |
Estimating the Size of Fast-Flux Service Networks Based on Capture-Recapture Method |
title_short |
Estimating the Size of Fast-Flux Service Networks Based on Capture-Recapture Method |
title_full |
Estimating the Size of Fast-Flux Service Networks Based on Capture-Recapture Method |
title_fullStr |
Estimating the Size of Fast-Flux Service Networks Based on Capture-Recapture Method |
title_full_unstemmed |
Estimating the Size of Fast-Flux Service Networks Based on Capture-Recapture Method |
title_sort |
estimating the size of fast-flux service networks based on capture-recapture method |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/55415733897647574305 |
work_keys_str_mv |
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