AN ENHANCEMENT OF ASSOCIATION CLASSIFICATION ALGORITHM FOR IDENTIFYING PHISHING WEBSITES
Journal Title: Indian Journal of Computer Science and Engineering - Year 2016, Vol 7, Issue 4
Abstract
Phishing is a fraudulent activity that involves attacker creating a model of an existing web page in order to get more important information similar to credit card details, passwords etc., of the users. This paper is an enhancement of the existing association classification algorithm to detect the phishing websites. We can enhance the accuracy to a greater extent by applying the association rules into classification. In addition, we can also obtain some valuable information and rules which cannot be captured by using any other classification approaches. However the rule generation procedure is very time consuming while encountering large data set. The proposed algorithm makes use of Apriori algorithm for identifying frequent itemsets and hence derives a decision tree based on the features of URL.
Authors and Affiliations
G. Parthasarathy , D. C. Tomar , K. Christina Praisy
Keywords
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