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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Malware Classification Using Few-Shot Learning Approach

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