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A Multimodal Deep Learning Approach for Efficient Vulnerability Detection in Smart Contracts

RESEARCH CREW
13:01 04/08/2023
TIN LIÊN QUAN
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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...
On the Effectiveness of Adversarial Samples against Ensemble Learning-based Windows PE Malware Detectors
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