New AI model detects email spam with zero training using BERT and FLAN-T5 The study begins by identifying key deficiencies in traditional spam filtering systems. Classic rule-based methods and machine ...

This project leverages advanced machine learning algorithms to detect and classify malicious emails, focusing on spam and phishing threats. As email threats grow more sophisticated, accurate detection ...

Subsequently, the data are pre-processed to identify phishing attacks using data cleaning, attribute selection, and attacks detected using machine learning techniques. Furthermore, the proposed ...

Citation: Tamal MA, Islam MK, Bhuiyan T, Sattar A and Prince NU (2024) Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine ...

In this paper we implemented five Machine Learning Algorithms in the Python language using the scikit-learn library and we compared their performance against two publicly available spam email corpuses ...