A Comparative Analysis of A.I. Algorithms for Malware Detection

Abstract

Malware - also known as malicious programs or code, are one of the biggest threats in computing today. They have become very easy to develop and thousands are produced every day. They mutate very easily making it very difficult to control. The most accessible mitigation is anti-malware tools. However, due to the reasons above the traditional signature based malware scanning tools have proved insufficient. For this reason, the antimalware industry is constantly rethinking ways of improving their detection methods. (Ye, Li, Adjeroh, & Iyengar, 2017). This research was conducted to assess and compare the performance of machine learning algorithms in the detection of malware.