Cybercriminals have become more adept at stealing money and data from businesses and shoppers. Fake accounts, stolen credit ...

Various spam detection methods and algorithms have been developed to prevent these problems. In this study, two models are proposed to detect spam e-mails using natural language processing (NLP) and ...

As a result, this study proposes a taxonomy of deep learning algorithm for phishing detection by examining 81 selected papers using a systematic literature review approach. The paper first introduces ...

This project is a simple spam message classifier built using Python's Scikit-learn library. It uses a Multinomial Naive Bayes model combined with a Count Vectorizer to classify text messages as either ...

Spam And Phishing Detection Using Machine Learning Overview This project leverages advanced machine learning algorithms to detect and classify malicious emails, focusing on spam and phishing threats.