Cantina: a content-based approach to detecting phishing web sites
Cantina: a content-based approach to detecting phishing web sites
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DOI：
10.1145/1242572.1242659
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发表时间：
2007-05
期刊：
影响因子：
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通讯作者：
Yue Zhang;Jason I. Hong;L. Cranor
中科院分区：
文献类型：
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作者：
Yue Zhang;Jason I. Hong;L. Cranor
网络钓鱼是一个严重的问题，涉及欺诈性的电子邮件和网站，欺骗不知情的用户透露私人信息。在本文中，我们提出的设计，实现和评估CANTINA，一种新的，基于内容的方法来检测钓鱼网站，基于TF-IDF信息检索算法。我们还讨论了我们开发的几种减少误报的方法的设计和评估。我们的实验表明，CANTINA是善于检测钓鱼网站，正确标记约95%的钓鱼网站。
Phishing is a significant problem involving fraudulent email and web sites that trick unsuspecting users into revealing private information. In this paper, we present the design, implementation, and evaluation of CANTINA, a novel, content-based approach to detecting phishing web sites, based on the TF-IDF information retrieval algorithm. We also discuss the design and evaluation of several heuristics we developed to reduce false positives. Our experiments show that CANTINA is good at detecting phishing sites, correctly labeling approximately 95% of phishing sites.