A NOVEL APPROACH FOR PREDICTING PHISHING WEBSITES USING THE MAPREDUCE FRAMEWORK?Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 10)
Publication Date: 2014-10-30
Authors : Hima Sampath Rao; SK Abdul Nabi;
Page : 505-510
Keywords : Phishing; MapReduce Framework; Phishing Detection; clustering;
In this paper, we have proposed a new approach named as " A Novel Approach for Predicting Phishing Websites using Map Reduce Framework " to overcome the difficulty and complexity in detecting and predicting phishing website. We proposed an efficient, resilient and effective approach that is based on using MapReduce framework, classification Data Mining algorithms and cluster methodology. Detecting, Predicting & Identifying phishing websites are a tedious work. Several attributes are needed to be taken into consideration & finally using the data mining algorithms, an efficient and novel approach is defined. A map-reduce concept is involved followed by clustering and data mining algorithm which affects the entire process of detection and prediction of phishing websites to get the most effective and both original and genuine websites also increasing both speed & efficiency of the system. This system is very trustful, which surely guarantees that we will not miss a phishing website, even if it is a newborn.
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Last modified: 2014-10-26 16:39:23