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RESEARCH CREW

9:51 16/10/2022

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RAX-ClaMal: Dynamic Android malware classification based on RAX register values

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

VulnSense: Efficient Vulnerability Detection in Ethereum Smart Contracts by Multimodal Learning with Graph Neural Network and Language Model