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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| Published in: | IEEE access Vol. 13; pp. 191180 - 191202 |
|---|---|
| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Piscataway
IEEE
2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects: | |
| ISSN: | 2169-3536, 2169-3536 |
| Online Access: | Get full text |
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