Listar por autor "Estévez Pereira, Julio Jairo"

Mostrando ítems 1-3 de 3

    • Detección de anomalías en la red empleando técnicas de machine learning 

      Estévez Pereira, Julio Jairo (2020-09)
      [Resumen] En el ámbito de las redes de comunicación, una anomalía puede ser definida como una variación repentina del comportamiento habitual. Esto incluye tanto eventos fortuitos y bien intencionados, como ataques ...

    • Low Cost Automated Security Audit System 

      Fernández-Arruti Gallego, Pedro; Estévez Pereira, Julio Jairo; Nóvoa, Francisco; Dafonte, Carlos; Fernández, Diego (MDPI, 2021)
      [Abstract] In recent years, a quick transition towards digitization has been observed in most organizations. Along with it, certain inherent problems have appeared, such as the increase in cyber threats. Large organizations ...

    • Network Anomaly Detection Using Machine Learning Techniques 

      Estévez Pereira, Julio Jairo; Fernández, Diego; Nóvoa, Francisco (MDPI AG, 2020-08-19)
      [Abstract] While traditional network security methods have been proven useful until now, the flexibility of machine learning techniques makes them a solid candidate in the current scene of our networks. In this paper, we ...