Phishing Detection System Using Machine Learning and
Abstract— Detecting & Identifying phishy websites is a tedious slow < Final Year Projects 2016 > 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 Map Reduce, 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.
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