A Study Based on Detecting Redirection Spams

碩士 === 世新大學 === 資訊管理學研究所(含碩專班) === 100 === For modern people, to retrieve information via the Internet has become indispensable habits. Through Search Engine Optimization (SEO) technology, Web designers highlight the best way to allows people to find their web pages. However, since SEO technology ha...

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Main Authors: Ting-Wei Chang, 張庭瑋
Other Authors: Yui-Liang Chen
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/20165311434932834477
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spelling ndltd-TW-100SHU053960282016-04-23T04:08:52Z http://ndltd.ncl.edu.tw/handle/20165311434932834477 A Study Based on Detecting Redirection Spams 植基於轉址型垃圾網頁偵測之研究 Ting-Wei Chang 張庭瑋 碩士 世新大學 資訊管理學研究所(含碩專班) 100 For modern people, to retrieve information via the Internet has become indispensable habits. Through Search Engine Optimization (SEO) technology, Web designers highlight the best way to allows people to find their web pages. However, since SEO technology has been widespreadly accepted and used on the Internet, it had been filled by a lot of spam pages. Spam pages often lead users to obtain unexpected information, and raise retrieval cost during information collection. This heuristic experimental approach to identifing the characteristics of spam pages is to help Search engine algorithms to improve the screening of the redirect spam pages. In this study, the main purpose is to detect redirection spam pages, because of the advances in web technology making the redirect type of spam page detection increasingly difficult. In addition to the technical issue, the more frequently use of dynamic syntax of the page (javascript) is also a key factor. In this study, in accordance with the common syntax of the current redirect spam pages, we add some screening mechanism to identify the characteristics of the transferred spam pages. Through different search engines, the keyword search results of the proposed screening mechanism is up to 90% accuracy. The screening mechanism is indeed confirmed with a higher accuracy than other researchers. Yui-Liang Chen 陳育亮 2012 學位論文 ; thesis 64 zh-TW
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description 碩士 === 世新大學 === 資訊管理學研究所(含碩專班) === 100 === For modern people, to retrieve information via the Internet has become indispensable habits. Through Search Engine Optimization (SEO) technology, Web designers highlight the best way to allows people to find their web pages. However, since SEO technology has been widespreadly accepted and used on the Internet, it had been filled by a lot of spam pages. Spam pages often lead users to obtain unexpected information, and raise retrieval cost during information collection. This heuristic experimental approach to identifing the characteristics of spam pages is to help Search engine algorithms to improve the screening of the redirect spam pages. In this study, the main purpose is to detect redirection spam pages, because of the advances in web technology making the redirect type of spam page detection increasingly difficult. In addition to the technical issue, the more frequently use of dynamic syntax of the page (javascript) is also a key factor. In this study, in accordance with the common syntax of the current redirect spam pages, we add some screening mechanism to identify the characteristics of the transferred spam pages. Through different search engines, the keyword search results of the proposed screening mechanism is up to 90% accuracy. The screening mechanism is indeed confirmed with a higher accuracy than other researchers.
author2 Yui-Liang Chen
author_facet Yui-Liang Chen
Ting-Wei Chang
張庭瑋
author Ting-Wei Chang
張庭瑋
spellingShingle Ting-Wei Chang
張庭瑋
A Study Based on Detecting Redirection Spams
author_sort Ting-Wei Chang
title A Study Based on Detecting Redirection Spams
title_short A Study Based on Detecting Redirection Spams
title_full A Study Based on Detecting Redirection Spams
title_fullStr A Study Based on Detecting Redirection Spams
title_full_unstemmed A Study Based on Detecting Redirection Spams
title_sort study based on detecting redirection spams
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/20165311434932834477
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