Comprehensive Analysis of Malware Detection Using Machine Learning Techniques

This study explores the effectiveness of machine learning techniques in malware detection, focusing on ensemble and non-ensemble models using the Mal-API-2019 dataset. The author's main thesis is to advance cybersecurity capabilities by identifying and mitigating threats more effectively through the use of machine learning models.