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Research Paper | Computer Science & Engineering | India | Volume 9 Issue 8, August 2020

Phishing Websites Detection

M. Srinithya | V. Ragasree | K. Sri Harshini

Abstract: There is a range of customers who buy goods on the internet and make orders through numerous websites. There are many sites that require clients to provide touchy content on a regular basis for malignant reasons, such as username, secret passwords and so on. This kind of website is known as website phishing. To identify and predict the phishing site, we have proposed an effective system which depends on the use of machine learning techniques. We execute Classification algorithms and techniques to extricate the phishing informational collections and organize their legitimacy. The phishing site can be characterized dependent on certain significant traits, for example, URL and Domain Names, and rules for confirmation and encryption in the last phishing discovery period. With the guide of this program customers can buy products online effectively decisively.

Keywords: Data mining Algorithm, Feature extraction, Machine Learning, Phishing, Phishing Attacks, Phishing Detection, Phishing website

Edition: Volume 9 Issue 8, August 2020,

Pages: 26 - 29