MRm-DLDet: a memory-resident malware detection framework based on memory forensics and deep neural network

Abstract Cyber attackers have constantly updated their attack techniques to evade antivirus software detection in recent years. One popular evasion method is to execute malicious code and perform malicious actions only in memory. Malicious programs that use this attack method are called memory-resid...

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Detaylı Bibliyografya
Asıl Yazarlar:	Jiaxi Liu, Yun Feng, Xinyu Liu, Jianjun Zhao, Qixu Liu
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	SpringerOpen 2023-08-01
Seri Bilgileri:	Cybersecurity
Konular:	Memory-resident malware Memory forensics Malware detection Deep learning Ultra-high resolution image
Online Erişim:	https://doi.org/10.1186/s42400-023-00157-w
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

MRm-DLDet: a memory-resident malware detection framework based on memory forensics and deep neural network

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