Malware Detection Using Machine Learning Techniques: A Review

Abstract

Cybersecurity has become an important priority requiring immediate response. Threats have become a commonplace phenomenon. This paper will examine malware, a kind of cybersecurity encompassing harmful software that expropriates data and jeopardizes privacy and security. We will elucidate the application of malware analysis and machine learning methodologies for detection. Currently, fraudsters employ polymorphic malware that utilizes strategies challenging for conventional detection technologies to identify. Therefore, this study will utilize a survey on machine learning algorithms that facilitate the detection of different malware types while ensuring optimal detection performance and accuracy.