Interval Valued Neutrosophic Set with Machine Learning Model Dynamic Malware Detection in Digital Security
Traditional signature-based detection techniques are useless against new forms of malware due to their fast development, which poses a serious cybersecurity risk. People, businesses, and governments are all affected by this expanding threat, highlighting the urgent need for robust malware detection...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of New Mexico
2025-07-01
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| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | https://fs.unm.edu/NSS/13MalwareDetection.pdf |
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