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Phishing Attack Detection for Small Organisations – Using Machine Learning

Mr. Ayan Ghosh, Rahul Basak

Abstract


Phishing attacks are a major risk for small organizations because of less cybersecurity resources and awareness. This report introduces a Phishing Detection System that helps small businesses to defend against fake attempts to obtain sensitive information. The system combines various techniques to detect the URL phishing. With the use of this phishing detection system, small organizations can effectively minimize the threat of cyber fraud, providing a secure digital environment for customers as well as employees.


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References


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