Radar: a realistic dataset for advancing ransomware detection
Abstract Ransomware threats are growing in frequency and severity, posing significant challenges to cybersecurity defences. Machine learning (ML) has gained attention as a promising tool for detecting ransomware, but the lack of realistic ransomware datasets for training and evaluating ML models has...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SpringerOpen
2026-05-01
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| Colecção: | Cybersecurity |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1186/s42400-025-00435-9 |
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