DEFENDIFY: defense amplified with transfer learning for obfuscated malware framework
Abstract The existence of malicious software (malware) represents a potential threat to users who connect to a large set of services provided by multiple providers. Such malware is capable of stealing, spying on, encrypting data from users, and spreading, provoking impacts that are beyond a single c...
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| Autors principals: | , , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
SpringerOpen
2025-04-01
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| Col·lecció: | Cybersecurity |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s42400-025-00396-z |
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