Increasing the Accuracy of Malware Detection in PE Files Using Advanced Machine-Learning Techniques

This work presents the design and implementation of a new malware detection system for Portable Executable (PE) files in the Windows operating system using machine learning methods. The system uses various techniques for extracting attributes from binary files, including the n-gram method, branch an...

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Vydané v:	IEEE access Ročník 13; s. 191180 - 191202
Hlavní autori:	Papan, Jozef, Scasny, Martin, Bridova, Ivana, Janovec, Michal
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Application programming interface Application programming interfaces Classification Codes Detection system Feature extraction Machine learning Malware Neural networks Operating systems PE files Security Symbols Training Windows (computer programs)
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
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