期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：5
页码：1584-1589
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Since last Decade, Phishing isbecoming one of the serious crime in the network.Phishing is a type of attack that results in onlinetheft. In phishing, a combination of socialengineering and web site spoofing techniquestrack a user into revealing confidentialinformation with economic value. Over the pastfew years, different methods are designed for thedetection of phishing web by using known aswell as new features. In previous approach,Phishing sites are detected by using blacklistbasedapproach. The drawback of this approach isthat non-blacklisted phishing sites cannot bedetected using this approach. This paper presentsan efficient approach for detection of phishing aweb based on features of legitimate and phishingwebs. In this paper, we have proposed twoalgorithms that are K-Means and Naïve Bayes.Using these algorithms, we have checked blacklistfor detection of phishing sites as well as theirbehavior.
