Few-Shot Learning With Prototypical Networks for Improved Memory Forensics

Securing computer systems requires effective methods for malware detection. Memory forensics analyzes memory dumps to identify malicious activity, but faces challenges including large and complex datasets, constantly evolving malware threats, and limited labeled data for training algorithms among ot...

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Autors principals:	Muhammad Fahad Malik, Ammara Gul, Ayesha Saadia, Faeiz M. Alserhani
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Access
Matèries:	Malware detection memory forensics few-shot learning prototypical networks
Accés en línia:	https://ieeexplore.ieee.org/document/10980249/
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