Efficient Machine Learning for Prediction of Malicious URLs under Neutrosophic Uncertainty Framework
With more than 5.44 billion users, the Internet is an essential component of everyday life, facilitating e-commerce, interaction, learning, and more. But with the proliferation of harmful Uniform Resource Locators (URLs), this widespread Internet access also raises questions about online security an...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of New Mexico
2025-05-01
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| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | https://fs.unm.edu/NSS/26MaliciousURLs.pdf |
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