碩士 / 中原大學 / 資訊工程研究所 / 97 / Phishing is an attack that tries to deceive users into thinking that a phishing site is a legitimate webpage. Phishing pages are usually designed to look almost the same as the official pages, in terms of layout and contents. Phishers try to trick users to reveal their sensitive or private information, such as bank account or credit card numbers.
Many anti-phishing techniques have been proposed, and most of them rely on analysis of text features, such as HTML code blocks or URL addresses. But it is difficult for anti-phishing tools that use only text-based analysis techniques to correctly detect phishing pages that replace static text contents with pictures.
In this thesis, webpage titles were used as keywords for a search engine, such as Google, to search relevant but legitimate pages, in order to help decide if a webpage is a phishing page. We also used outgoing link number contained in a page as a factor for determining phihsing pages. We experimented our method using phishing pages in PhishTank.com as test data, and the results showed that our method can correctly determine 96% of phishing sites.
| Identifer | oai:union.ndltd.org:TW/097CYCU5392020 |
| Date | January 2009 |
| Creators | Wei-Yao Su, 蘇暐堯 |
| Contributors | Chung-Shyan Liu, Ming-Dar Tsai, 留忠賢, 蔡明達 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 49 |
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