Phishing Website for Detection using Machine ...

Phishing Website for Detection using Machine Learning

Author Name : Gaurang Pandit, Dr. Lochan Jolly

ABSTRACT

A ruse to obtain confidential and personal information such as passwords, usernames, and bank data such as credit/debit card numbers by impersonating a reputable entity contact via the internet The phishing website would function in the same way as the legitimate website similar to the legal website and leads the user to a page where they can insert their information on the bogus page, the user's personal information. The accuracy of the analysis can be improved using machine learning algorithms. The suggested approach predicts phishing attacks based on URLs on features that has the highest level of precision. This approach makes use of features of the uniform resource locator (URL). We discovered characteristics that the URLs of phishing sites include. Those are used in the suggested system of features for detecting phishing. The proposed framework foresees the future. Phishing attacks focused on URLs that are as precise as possible. about different types of machine learning, and the algorithms that can assist in prediction and decision-making more than one can be seen. Algorithm to improve prediction accuracy various machines to detect URLs, the proposed method employs learning algorithms and phishing threats that are focused on the internet.

Keywords: Phishing, legitimate, URL, feature extraction, machine learning, applications, classification, approach, algorithm.