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Feasibility of Phishing Detection Methods by ibrahimkhan220696 is a document available to read on EtoBox.
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