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  Published Paper Details:

  Paper Title

Prediction Of Phishing URL Using Machine Learning Classifier

  Authors

  Bhuvaneshwari S. Patil,  Ashvini S. Patil,  Devayani R. Mahajan,  Khushal G. Patil,  Priti R. Sharma

  Keywords

Cybersecurity, Phishing detection, Phishing domains, Legitimate domains, Random Forest.

  Abstract


Along with the rise in technology, there is an increase in attacks involving digital platforms. It is very important to stay secure in this digital world. To respond to these attacks, we propose a method that detects phishing websites by categorizing the Internet URL and domain names of websites with the Random Forest classifier algorithm according to seventeen predetermined features. To illustrate the highest accuracy rate, the use of Random Forest algorithm is preferred. In this method, a dataset with 10,000 URLs in which 5000 URLs are non-phishing websites and 5000 URLs are phishing websites to be labelled according to seventeen predetermined features.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2504856

  Paper ID - 282722

  Page Number(s) - h234-h238

  Pubished in - Volume 13 | Issue 4 | April 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Bhuvaneshwari S. Patil,  Ashvini S. Patil,  Devayani R. Mahajan,  Khushal G. Patil,  Priti R. Sharma,   "Prediction Of Phishing URL Using Machine Learning Classifier", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.h234-h238, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504856.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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