Phishing Detection In Selected Feature Using Modified SVM-PSO
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2016, Vol 5, Issue 4
Abstract
The sensitive information such as passwords, credit card number, account details, email information and credential of the external users robbed by threats such kind of threat is called phishing. So many softwareand technique has been developed to address this problem. In this work, we reduce the features to identify the suspecting online users using data mining method support vector machine (SVM) and particle swarm optimization. The experimental result analysis is done in Visual C#.net and framework 4.5 used, the purpose of using C#.Net technology is to easily interact with web related data, because without internet interaction the experimental test is not possible.
Authors and Affiliations
Nirmala Suryavanshi, Anurag Jain
Keywords
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