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Tackling imbalanced data in cybersecurity with transfer learning: a case with ROP payload detection
In recent years, deep learning gained proliferating popularity in the cybersecurity application domain, since when being compared to traditional machine learning methods, it usually involves less human efforts, produces better results, and provides better generalizability. However, the imbalanced da...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Nature Singapore
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813250/ https://www.ncbi.nlm.nih.gov/pubmed/36620350 http://dx.doi.org/10.1186/s42400-022-00135-8 |