URL Based Phishing Website Detection

Authors

  • Mallula Kumara Swamy PG scholar, Department of MCA, CDNR collage, Bhimavaram, Andhra Pradesh Author
  • K.Venkatesh (Assistant Professor), Master of Computer Applications, DNR collage, Bhimavaram, Andhra Pradesh. Author

Abstract

In this project we are using various machine
learning algorithms such as Random Forest,
Support Vector Machine and Decision Tree to
detect phishing URL’s. Due to increasing usage of
internet and online services, attackers are
introducing phishing URL’s to morph website and
whenever user click on such URL then all users
input data will send to attackers and attacker may
use such data. To overcome from above problem

Downloads

Download data is not yet available.

Downloads

Published

2025-05-01

Issue

Section

Articles

How to Cite

URL Based Phishing Website Detection. (2025). International Journal of Multidisciplinary Engineering In Current Research, 10(5), 358-369. https://ijmec.com/index.php/multidisciplinary/article/view/665

Most read articles by the same author(s)

1 2 > >>