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.
| Identifer | oai:union.ndltd.org:TW/101NCHU5394075 |
| Date | January 2013 |
| Creators | Ting-Ching Lin, 林廷璟 |
| Contributors | Der-Chen Huang, 黃德成 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 35 |
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