SeFed-IDS: A Collaborative Intrusion Detection System Utilizing Semi-Supervised Federated Learning and Data Augmentation

Detecting malware on Android remains a major challenge because malicious apps use sophisticated evasion techniques. This study presents RAX-ClaMal, a novel approach leveraging dynamic analysis of RAX (Register a Extended) register values for Android malware detection. By extracting and examining the RAX register in the data sections from Dalvik Executable...