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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| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/23h859 |
| Summary: | 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.
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