• 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 ...
    • Network Data Flow Clustering based on Unsupervised Learning 

      López-Vizcaíno, Manuel F.; Dafonte, C.; Nóvoa, Francisco; Garabato, D.; Álvarez, M. A.; Fernández, Diego (Institute of Electrical and Electronics Engineers Inc., 2019)
      [Abstract]: Network communication data analysis is crucial in order to provide an adequate security level in computer infrastructures. As the volume of data and the number of features rise, the difficulties associated with ...
    • Time-Aware Detection Systems 

      López-Vizcaíno, Manuel F.; Vigoya, Laura; Cacheda, Fidel; Nóvoa, Francisco (MDPI AG, 2019-08-05)
      [Abstract] Communication network data has been growing in the last decades and with the generalisation of the Internet of Things (IoT) its growth has increased. The number of attacks to this kind of infrastructures have ...