期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN:2347-6710
电子版ISSN:2319-8753
出版年度:2017
卷号:6
期号:9
页码:19069
DOI:10.15680/IJIRSET.2017.0609194
出版社:S&S Publications
摘要:Phishing attack has become one of the most serious issues in today's world. Many people have lost hugesums of money by becoming victim to these attacks. Phishing websites trick internet users into divulging their personalor financial information such as username, password, credit card details, bank details etc. These websites look exactlylike the original website. Various anti-phishing techniques make use of different features of the webpage in order toidentify the fraud website. In this paper, we discuss different phishing detection techniques and present the survey ofvarious phishing website detection approaches.
关键词:phishing; data mining; SVM; machine learning; legitimate website; phishing website