Paper Key : IRJ************863
Author: Mr. Prithviraj Satpute ,Prof.rohit Mane ,Mr.siddharth Kulkarni,Mr.shivam Saraswat,Miss Gayatri Suryawanshi,Miss Srushti Chalke
Date Published: 12 Apr 2025
Abstract
It is found that phishing attacks is very crucial and it is important for us to get a mechanism to detect it. As very important and personal information of the user can be leaked through phishing websites, it becomes more critical to take care of this issue. This problem can be easily solved by using any of the machine learning algorithm with the classifier. We already have classifiers which gives good prediction rate of the phishing besides, but after our survey that it will be better to use a hybrid approach for the prediction and further improve the accuracy prediction rate of phishing websites. We have seen that existing system gives less accuracy so we proposed a new phishing method that employs URL based features and also, we generated classifiers through several machine learning. We have got the desired results of testing the site is phishing or not by using five different classifiers.
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