Open AccessDetecting Phishing Website Using Machine Learning
Author(s) -
Aarti Chile,
Mrunal Jadhav,
Shital Thakare,
Yogita Chavan
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-1082
Subject(s) - phishing , password , computer science , credit card , masking (illustration) , world wide web , personally identifiable information , computer security , information retrieval , the internet , art , visual arts , payment
A fraud attempt to get sensitive and personal information like password, username, and bank details like credit/debit card details by masking as a reliable organization in electronic communication. The phishing website will appear the same as the legitimate website and directs the user to a page to enter personal details of the user on the fake website. Through machine learning algorithms one can improve the accuracy of the prediction. The proposed method predicts the URL based phishing websites based on features and also gives maximum accuracy. This method uses uniform resource locator (URL) features. We identified features that phishing site URLs contain. The proposed method employs those features for phishing detection. The proposed system predicts the URL based phishing websites with maximum accuracy.