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Malicious URL Detection using Machine Learning Prenalee Nanaware
International Journal of Integrated Science and Technology Vol. 2 No. 1 (2024): January 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i1.1289

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.