Phishing Webpage Detection
碩士 === 國立臺灣科技大學 === 資訊工程系 === 96 === Phishing attack is growing significantly each year and is considered as one of the most dangerous threats in the Internet which may cause people to lose confidence in e-commerce. In this paper, we present a heuristic method to determine whether a webpage is a leg...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/16424787132137919099 |
| Summary: | 碩士 === 國立臺灣科技大學 === 資訊工程系 === 96 === Phishing attack is growing significantly each year and is considered as one of the most dangerous threats in the Internet which may cause people to lose confidence in e-commerce. In this paper, we present a heuristic method to determine whether a webpage is a legitimate or a phishing page. This scheme could detect new phishing pages which black list based anti-phishing tools could not. Our method is a combination of several heuristic methods previously proposed by other authors, with several addition and modification. Our evaluation result shows that the phishing detector may achieve high accuracy with relatively low false positive and low false negative. This also proves that the combination of different methods may improve detection performance since the strength of one method may cover the weakness of other methods.
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