A Method of Detecting Phishing Attacks for Auction Sites

碩士 === 國立中興大學 === 資訊科學與工程學系所 === 101 === Phishing attacks attract users to visit fake website to steal their personal information. Most phishing detection approaches adopt Uniform Resource Locator (URL) blacklists or phishing website features as a detection character to cope with phishing attacks....

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Main Authors: Ting-Ching Lin, 林廷璟
Other Authors: Der-Chen Huang
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/23h859
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spelling ndltd-TW-101NCHU53940752019-05-15T21:02:50Z http://ndltd.ncl.edu.tw/handle/23h859 A Method of Detecting Phishing Attacks for Auction Sites 一種針對拍賣網站釣魚攻擊的方法 Ting-Ching Lin 林廷璟 碩士 國立中興大學 資訊科學與工程學系所 101 Phishing attacks attract users to visit fake website to steal their personal information. Most phishing detection approaches adopt Uniform Resource Locator (URL) blacklists or phishing website features as a detection character to cope with phishing attacks. The existing approaches of using URL blacklists cannot detect the new phishing attacks because they are not existed in the blacklists. Similarly, the existing feature-based methods suffer high false positive rates and this leads to an inadequacy in the online transactions. To solve these problems, we use the feature of legitimate websites to detect phishing attacks to improve false negative rates and false positive rates. Der-Chen Huang 黃德成 2013 學位論文 ; thesis 35 zh-TW
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description 碩士 === 國立中興大學 === 資訊科學與工程學系所 === 101 === Phishing attacks attract users to visit fake website to steal their personal information. Most phishing detection approaches adopt Uniform Resource Locator (URL) blacklists or phishing website features as a detection character to cope with phishing attacks. The existing approaches of using URL blacklists cannot detect the new phishing attacks because they are not existed in the blacklists. Similarly, the existing feature-based methods suffer high false positive rates and this leads to an inadequacy in the online transactions. To solve these problems, we use the feature of legitimate websites to detect phishing attacks to improve false negative rates and false positive rates.
author2 Der-Chen Huang
author_facet Der-Chen Huang
Ting-Ching Lin
林廷璟
author Ting-Ching Lin
林廷璟
spellingShingle Ting-Ching Lin
林廷璟
A Method of Detecting Phishing Attacks for Auction Sites
author_sort Ting-Ching Lin
title A Method of Detecting Phishing Attacks for Auction Sites
title_short A Method of Detecting Phishing Attacks for Auction Sites
title_full A Method of Detecting Phishing Attacks for Auction Sites
title_fullStr A Method of Detecting Phishing Attacks for Auction Sites
title_full_unstemmed A Method of Detecting Phishing Attacks for Auction Sites
title_sort method of detecting phishing attacks for auction sites
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/23h859
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