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    CYSAS-S3: a novel dataset for validating cyber situational awareness related tools for supporting military operations

    Autor: 
    Daton Medenou, Roumen
    ;
    Calzado Mayo, Victor Manuel
    ;
    Garcia Balufo, Miriam
    ;
    Páramo Castrillo, Miguel
    ;
    González Garrido, Francisco José
    ;
    Luis Martinez, Alvaro
    ;
    Nevado Catalán, David
    ;
    Hu, Ao
    ;
    Sandoval Rodriguez-Bermejo, David
    ;
    Maestre Vidal, Jorge
    ;
    Pasqual de Riquelme, Gerardo Ramis
    ;
    Berardi, Antonio
    ;
    De Santis, Paolo
    ;
    Torelli, Francesco
    ;
    Llopis Sánchez, Salvador
    Fecha: 
    2020
    Palabra clave: 
    advanced persistent threat; cyber defence; cyber situational awareness; dataset; network security; Scopus(2)
    Revista / editorial: 
    ACM International Conference Proceeding Series
    Tipo de Ítem: 
    conferenceObject
    URI: 
    https://reunir.unir.net/handle/123456789/11409
    DOI: 
    https://doi.org/10.1145/3407023.3409222
    Dirección web: 
    https://www.semanticscholar.org/paper/CYSAS-S3%3A-a-novel-dataset-for-validating-cyber-for-Medenou-Mayo/f8511a61ddff331782aa87dda1b0175e70f45c28
    Resumen:
    The lack of suitable datasets and evaluation processes entails one of the most challenging gaps on the digital transformation era, where data-driven solutions like machine learning algorithms constitute a key pillar of the digitalization, virtualization and analytical on the emerging cyber-physical and ergonomic capabilities. This problem is even greater in the cyber defence domain, where for security or technical reasons, there is not data publicly or on-demand available concerning the role of the cyberspace on military operations. In this context, the expression popularized by the machine learning community "you go to the war with the data you have, not the data you might want" can be literally applied. In order to contribute to overcome this gap, this paper introduces CYSAS-S3, a novel dataset designed and created as the result of a research action that explores the principal needs on datasets by cyber commands, resulting in the generation of a collection of samples that correlated the impact of Advanced Persistent Threat (APT) behaviours and each phase of their cyber kill chain, regarding mission-level operations and goals.
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