A Study on Adversarial Attacks for Benchmarking Deep Learning-based Web Application Firewalls

RESEARCH CREW
22:25 06/11/2024
TIN LIÊN QUAN
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...