Phishing Detection System Using Machine Learning and Hadoop-MapReduce

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Security
Format: PDF
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 the authors 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, they 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 they will not miss a phishy website, even if it is a new-born.

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