期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：5
页码：9759
DOI：10.15680/IJIRCCE.2017.0505180
出版社：S&S Publications
摘要：Fraud websites steals identity of the user automatically without user’s awareness. These websites orweb pages convince the users to reveal their personal or financial information like username, credit card number,password, account number and use this information for their monetary gain. Fraud websites looks exactly like theirlegitimate counterparts. So these anti phishing techniques are mostly machine learning based in which different featuresare used which are extracted from various sources. In this paper, we present the survey of fraud website detectionapproaches. This is the survey where most of the proposed techniques for detecting fraud websites are discussed.
关键词：machine learning; phishing; data mining; fraud websites; legitimate websites
