A Novel Study on Multinomial Classification of x86/x64 Linux ELF Malware Types and Families Through Deep Neural Networks-Reference-Cited by-同舟云学术

A Novel Study on Multinomial Classification of x86/x64 Linux ELF Malware Types and Families Through Deep Neural Networks

Published:2020-12-21 Issue: Volume: Page:437-453
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Container-title:Malware Analysis Using Artificial Intelligence and Deep Learning
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Author:

Shalaginov Andrii,Øverlier Lasse

Publisher

Springer International Publishing

Link

Reference43 articles.

1. A brief history of linux malware. Accessed 24 June 2020.

2. Malware names. https://docs.microsoft.com/nb-no/windows/security/threat-protection/intelligence/malware-naming. Accessed 06 Feb 2020.

3. Naming scheme - caro - computer antivirus research organization. www.caro.org/naming/scheme.html. Accessed 07 Feb 2020.

4. Virusshare. https://www.VirusShare.com/. Accessed 17 Feb 2020.

5. Virustotal. https://www.virustotal.com/. Accessed 17 Feb 2020.

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5. Volatility Custom Profiling for Automated Hybrid ELF Malware Detection;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023