Classification of Phishing Websites Using Moth-Flame Optimized Neural Network
Phishing websites are taking a toll in today’s Internet-infused world. These types of websites try to attack the classified information of the user on the Internet database, masquerading as the trusted website. They even use the logo and the website address of the original website to come off as the original one to the user. In this project, we deal with the classification of such websites from the real ones using the standards set by W3C. The Moth-flame algorithm is used as a learning algorithm to optimize the feedforward neural network and to classify the websites.
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