AI-Driven Phishing Detection: Advanced Machine Learning Strategies for Identifying Malicious Websites

Authors- Mrs. T. Sankaramma, I.V.B. Sai Sandeep, B. Bhuvana Chandrika, K.V.V.S.Sai Manohar, R.Joseph Hosanna., T.Madhuri

Abstract-In recent years, website phishing attacks have significantly increased, posing a major cyber security threat. While various software solutions have been developed to detect phishing websites, they are not entirely effective in identifying all fraudulent activities. Several challenges remain in accurately distinguishing between legitimate and malicious sites. To enhance detection accuracy and computational efficiency, integrating machine learning algorithms into phishing attack detection has emerged as a promising approach. Machine learning not only improves accuracy but also helps address limitations in existing models. This research focuses on training the ENSEMBLE Machine Learning (ML) model using a collected dataset to detect phishing websites effectively.

DOI: /10.61463/ijset.vol.13.issue2.267