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What is Feasibility of Phishing Detection Methods about?

This research focuses on phishing detection using a secondary-data-driven approach, leveraging publicly available datasets to minimize ethical risks. A quantitative research design will employ supervised machine learning techniques to classify phishing and legitimate instances, ensuring methodological validity through established features and preprocessing steps. The study is feasible within a postgraduate context, utilizing standard algorithms and manageable computational resources for incremental progress

Author

ibrahimkhan220696

Language

EN