Malware Classification Using Few-Shot Learning Approach

Malware Classification Using Few-Shot Learning Approach

Malware detection, targeting the microarchitecture of processors, has recently come to light as a potentially effective way to improve computer system security. Hardware Performance Counter data are used by machine learning algorithms in security mechanisms, such as hardware-based malware detection,...

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Bibliographic Details
Main Authors: Khalid Alfarsi, Saim Rasheed, Iftikhar Ahmad
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Information
Subjects:
few-shot learning (FSL)
Prototypical
malware detection
cyber-attack
classification algorithms
Online Access:https://www.mdpi.com/2078-2489/15/11/722
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