Malicious Url Detection Using Ml

Authors

  • Golagabattula Ajay Kanth PG scholar, Department of MCA, CDNR collage, Bhimavaram, Andhra Pradesh Author
  • B.S.Murthy (Assistant Professor), Master of Computer Applications, DNR collage, Bhimavaram, Andhra Pradesh Author

Abstract

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 and to fight with phishing URLS
we are introducing machine learning algorithm
which will get trained on PAST known phishing
and genuine URL and this trained model can be
used to predict phishing from new test URL’s. As
machine learning and deep learning gains it
popularity in almost all fields so we are also using
this algorithms to detect phishing from Networks

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Published

2025-04-23

How to Cite

Malicious Url Detection Using Ml. (2025). INTERNATIONAL JOURNAL OF MANAGEMENT RESEARCH AND REVIEW, 15(2s), 97-103. https://ijmrr.com/index.php/ijmrr/article/view/36

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