Machine Learning for the Detection of Uniform Resource Locator Phishing:

Muthuselvan S. KCG College of Technology, India https://orcid.org/0000-0002-1923-3600 Karthikeyan R. Aarupadai Veedu Institute of Technology, India Rajasekaran M. Madanapalle Institute of Technology and Science, India Rajakumari K. Bharath Institute of Higher Education and Research, India Rajes kannan S. Chennai Institute of Technology, India Anupriya S. Vels Institute of Science, Technology, and Advanced Studies, India Machine Learning for the Detection of Uniform Resource Locator Phishing

In recent times, phishing attempts have grown in frequency as fraudsters employ diverse tactics to deceive gullible victims into divulging confidential information, like financial details or login credentials. One of the most common methods of phishing is through the use of URLs, where attackers create fake web pages that mimic legitimate sites and use them to steal information from users to combat this threat, researchers and security experts have turned to machine learning techniques to develop algorithms that can accurately detect phishing URLs. In this paper,review the current state of the art in URL phishing detection using machine learning, including the various approaches and algorithms that have been developed.
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