The security of cloud computing has become a critical issue with the rise of malware threats such as spyware, ransomware, and trojan horses. This study develops a malware detection system based on RT-AMD (Real-Time Attack Monitoring and Detection) using machine learning algorithms, including Random Forest, Decision Tree, K-Nearest Neighbor, and Naïve Bayes. The CIC-MalMem-2022 dataset is used …