Addressing Behavioral Drift in Ransomware Early Detection Through Weighted Generative Adversarial Networks
Crypto-ransomware attacks pose a significant cyber threat due to the irreversible effect of encryption employed to deny access to the data on the victim’s device. Existing state-of-the-art solutions are developed based on two assumptions: the availability of sufficient data to perform detecti...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2024-01-01
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| Colecção: | IEEE Access |
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| Acesso em linha: | https://ieeexplore.ieee.org/document/10376176/ |
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