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：6
出版社：S.S. Mishra
摘要：Detecting & Identifying phishy websites is a tedious work. Several attributes are needed to be taken into consideration & finally using the data mining algorithms, a final decision is made. For finding these attribute we have used MapReduce algorithm in collaboration with Hadoop file system. In existing Online Phishing Detection systems, usually the reference to the database is taken for making any conclusion about the degree of phishiness of the website. In this proposed system, we concentrate on getting the necessary attributes in real time environment using Hadoop-MapReduce, thus increasing both speed & efficiency of the system. This system is very trustful, which surely guarantees that we will not miss a phishy website, even if it is a new-born.
