A novel malware family named LameHug is using a large language model (LLM) to generate commands to be executed on compromised ...

This project implements a simple yet effective email spam detection system using Natural Language Processing (NLP) and machine learning techniques. It classifies incoming messages as "spam" or "ham" ...

Spam Email Detector using Naive Bayes, C4.5 Decision Tree, and K Nearest Neighbor algorithms. We found Naive Bayes to be the most accurate at classifying spam. SpamGuard Pro: A foundational reference ...

Nowadays, emails are used across almost every field, spanning from business to education. Broadly, emails can be categorized as either ham or spam. Email spam, also known as junk emails or unwanted ...

In recent years, considerable attention has focused on the potential of ML and DL methods to improve email spam detection. A comprehensive literature review is therefore imperative for developing an ...