文章基本信息

标题：Detection Phishing Emails Using Features Decisive Values
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作者：Noor Ghazi M. Jameel ; Loay E. George
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：7
出版社：S.S. Mishra
摘要：Phishing emails are messages designed to fool the recipient into handing over personal information, such as login names, passwords, credit card numbers, account credentials, social security numbers etc. Fraudulent emails harm their victims through loss of funds and identity theft. They also hurt Internet business, because people lose their trust in Internet transactions for fear that they will become victims of fraud. This paper deals with the phishing detection problem and how to auto detect phishing emails. The proposed phishing detection model is based on the extracted email features to detect phishing emails, these features appeared in the header and HTML body of email. The developed model introduces statistical based parameters called features existence weight to decide whether the tested email is phishing or not. The results of the conducted testes indicated good identification rate (97.79%) with short required processing time (0.0004 msec.).
关键词：Phishing Attack; phishing Email; Fraud; Identity Theft