Deep learning models analyzing API sequences for Windows malware detection face challenges due to evolving malware variants. A group of researchers recently proposed the MME framework, which enhances the existing detectors by leveraging API knowledge graphs and system resource encodings. Utilizing contrastive learning, MME captures similar malicious semantics in evolved malware samples. MME Framework Experimental […]
The post Researchers Proposed MME Framework To Enhance API Sequence-Based Malware Detection appeared first on GBHackers on Security | #1 Globally Trusted Cyber Security News Platform.
This article has been indexed from GBHackers on Security | #1 Globally Trusted Cyber Security News Platform