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

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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Bibliographic Details
Main Authors: Jiaxi Liu, Yun Feng, Xinyu Liu, Jianjun Zhao, Qixu Liu
Format: Article
Language:English
Published: SpringerOpen 2023-08-01
Series:Cybersecurity
Subjects:
Memory-resident malware
Memory forensics
Malware detection
Deep learning
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Online Access:https://doi.org/10.1186/s42400-023-00157-w

Internet

https://doi.org/10.1186/s42400-023-00157-w

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