An Effective Strategy for Identifying Phishing Websites Using Class-Based Approach

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Executive Summary

This paper presents a novel approach to overcome the difficulty and complexity in detecting and predicting social networking phishing website. The authors proposed an intelligent resilient and effective model that is based on using A New Class Based Associative Classification Algorithm which is an advanced and efficient approach than all other association and classification Data Mining algorithms. This algorithm is used to characterize and identify all the factors and rules in order to classify the phishing website and the relationship that correlate them with each other.

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