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ReinforSec: An Automatic Generator of Synthetic Malware Samples and Denial-of-Service Attacks through Reinforcement Learning
In recent years, cybersecurity has been strengthened through the adoption of processes, mechanisms and rapid sources of indicators of compromise in critical areas. Among the most latent challenges are the detection, classification and eradication of malware and Denial of Service Cyber-Attacks (DoS)....
Autores principales: | Hernandez-Suarez, Aldo, Sanchez-Perez, Gabriel, Toscano-Medina, Linda K., Perez-Meana, Hector, Olivares-Mercado, Jesus, Portillo-Portillo, Jose, Benitez-Garcia, Gibran, Sandoval Orozco, Ana Lucila, García Villalba, Luis Javier |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920136/ https://www.ncbi.nlm.nih.gov/pubmed/36772270 http://dx.doi.org/10.3390/s23031231 |
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