The focus of this paper is to research recent papers in the field of malware detection and how it is improved with Machine Learning technologies. This paper is a literature review of nine recent papers, which are using various approaches for malware detection in Android and Windows environments.
This paper is created for the seminar course of fall 2019 at Aalto University, and it is created in co-operation with F-Secure researchers.