Few-Shot Learning With Prototypical Networks for Improved Memory Forensics

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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Bibliographic Details
Main Authors: Muhammad Fahad Malik, Ammara Gul, Ayesha Saadia, Faeiz M. Alserhani
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Malware detection
memory forensics
few-shot learning
prototypical networks
Online Access:https://ieeexplore.ieee.org/document/10980249/
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