Malicious URL Detection using Machine Learning

Authors

  • Prenalee Nanaware AISSMS IOIT

DOI:

https://doi.org/10.59890/ijist.v2i1.1289

Keywords:

Malicious URL Detection, Web Based Attacks, Feature Extraction, Malicious Web Pages

Abstract

      One of the most prevalent and least protected security risks in existence today is fraudulent websites and URLs.We offer a method that both uses machine learning characteristics to identify phishing URLs and employs text processing techniques to evaluate text and identify incorrect remarks that are suggestive of phishing assaults.

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Published

2024-01-31

How to Cite

Prenalee Nanaware. (2024). Malicious URL Detection using Machine Learning. International Journal of Integrated Science and Technology, 2(1), 29–36. https://doi.org/10.59890/ijist.v2i1.1289