Introducing the CYSAS-S3 Dataset for Operationalizing a Mission-Oriented Cyber Situational Awareness

The digital transformation of the defence sector is not exempt from innovative requirements and challenges, with the lack of availability of reliable, unbiased and consistent data for training automatisms (machine learning algorithms, decision-making, what-if recreation of operational conditions, su...

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Detalles Bibliográficos
Autores principales: Medenou Choumanof, Roumen Daton, Llopis Sanchez, Salvador, Calzado Mayo, Victor Manuel, Garcia Balufo, Miriam, Páramo Castrillo, Miguel, González Garrido, Francisco José, Luis Martinez, Alvaro, Nevado Catalán, David, Hu, Ao, Rodríguez-Bermejo, David Sandoval, Pasqual de Riquelme, Gerardo Ramis, Sotelo Monge, Marco Antonio, Berardi, Antonio, De Santis, Paolo, Torelli, Francesco, Maestre Vidal, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318677/
https://www.ncbi.nlm.nih.gov/pubmed/35890786
http://dx.doi.org/10.3390/s22145104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318677/
https://www.ncbi.nlm.nih.gov/pubmed/35890786
http://dx.doi.org/10.3390/s22145104

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