Phishing Website Detection Based on Machine Learning Algorithm-Reference-Cited by-同舟云学术

Phishing Website Detection Based on Machine Learning Algorithm

Published:2023-05-10 Issue: Volume: Page:562-570
ISSN:2395-602X
Container-title:International Journal of Scientific Research in Science and Technology
language:en
Short-container-title:IJSRST

Author:

Prof. A. V. Mote ¹,Hitesh Y. Patil ¹,Prachi R. Patil ¹,Omkar S. Ombase ¹

Affiliation:

1. Department of Computer Engineering, Zeal College of Engineering and Research Pune, Maharashtra, India

Abstract

Phishing websites utilise a variety of techniques to imitate the URL address and page content of a legitimate website in order to steal users' personal information. In this study, we analyse the structural properties of the phishing website URL, extract 12 different types of data, and train four machine learning algorithms. Then, in order to identify unknown URLs, utilise the method that performed the best as our model. The recommendation of the original regular web page of the phishing web page is implemented after a snapshot of the web page is extracted and compared with the regular web page snapshot.

Publisher

Technoscience Academy

Subject

General Medicine

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