Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research

arXiv:2404.18541v1 Announce Type: new
Abstract: In this chapter, readers will explore how machine learning has been applied to build malware detection systems designed for the Windows operating system. This chapter starts by introducing the main components of a Machine Learning pipeline, highlighting the challenges of collecting and maintaining up-to-date datasets. Following this introduction, various state-of-the-art malware detectors are presented, encompassing both feature-based and deep learning-based detectors. Subsequent sections introduce the primary challenges encountered by machine learning-based malware detectors, including concept …

arxiv build challenges classification collecting components cs.ai cs.cr detection machine machine learning main malware malware detection operating system pipeline research system systems windows windows malware windows operating system