Prediction of Phishing Websites Using Optimization Techniques
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2012, Vol 2, Issue 1
Abstract
Phishing website is a fraudulent attempt usually made through email, to steal personal information. Phishing emails usually appear to come from a well-known organization and ask for personal information such as credit card number, social security number, account number or password. Often times phishing attempts appear to come from sites, services and companies with which do not even have an account. This paper presents a novel approach to overcome the difficulty and complexity in predicting and detecting phishing website. In existing system they proposed an intelligent resilient and effective model that is based on using association and classification Data Mining algorithms. They implemented PART classification algorithm and techniques to extract the phishing data training sets criteria to classify their legitimacy. In the proposed system, we implement the PSO algorithm for predicting Phishing Websites.In this project, we present novel approach to overcome the ‘fuzziness’ in the phishing website assessment and propose an intelligent resilient and effective model for phishing websites. The experimental results demonstrated the feasibility of using Association and Classification techniques and PSO real applications and its better performance.
Authors and Affiliations
R. Sumathi , Mr. R. Vidhya Prakash
Keywords
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