Intelligent detection and forensics method for malware based on memory opcode genes
Abstract To tackle the challenge posed by the extensive use of obfuscation, packing, encryption, and other means by current malware, which results in numerous variants and decreased identification accuracy alongside increased false negatives and false positives in current detection methods, this pap...
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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Springer
2026-02-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1007/s44443-026-00521-z |
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