Email fraud classifier using machine learning

Abstract

[en] Email is one of the most common methods of communication nowadays. Programs known as malware detection are essential to assist and protect users from the agents that are usually responsible for cyberattacks. This paper focuses on using machine learning algorithms to detect any possible email attacks by analyzing datasets of whitelists and blacklists. This document also includes other methods that try to solve this problem.