期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2014
卷号：5
期号：1
页码：104-108
出版社：IJECCE
摘要：Phishing is process of steeling valuable information such as ATM pins, Credit card details over internet. Where the attacker creates mimicked web pages from the legitimate web pages to fool users. In this paper, we propose an effective anti-phishing solution, by combining image based visual similarity based approach to detect plagiarized web pages. We used effective algorithms for our detection mechanism, speeded up Robust Features (SURF) algorithm in order to generate signature based on extracting stable key points from the screen shot of the web page. When a legitimate web page is registered with our system, this algorithm applied on that web page in order to generate signatures, and these signatures are stored in the database for our trained system. When there is a suspected web page, this algorithm is applied to generate both the signatures of the suspected page and is verified against our database of corresponding legitimate web pages. Our results verified that our proposed system is very effective to detect the mimicked web pages with minimal false positives
