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)....

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

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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