Using machine learning to deal with Phishing and Spam Detection: An overview

Abstract

Cybersecurity is a growing field that requires a lot of attention due to the remarkable progress made in social networks, cloud and web technologies, online banking, mobile environment, smart networks, etc. Various approaches have been developed to solve many computer security problems, including those based on machine learning. This paper examines and highlights the various works using machine learning in network security. Two types of detection are discussed. Phishing detection and Spam detection. For each type, related work is presented and some proposed methods in the literature are compared taking into account their accuracy and other characteristics.