Listar por autor "Herrero, Alvaro"

Mostrando ítems 1-3 de 3

    • Delving into Android Malware Families with a Novel Neural Projection Method 

      Vega-Vega, Rafael A.; Quintián, Héctor; Cambra, Carlos; Basurto, Nuño; Herrero, Alvaro; Calvo-Rolle, José Luis (Willey-Hindawi, 2019)
      [Abstract] Present research proposes the application of unsupervised and supervised machine-learning techniques to characterize Android malware families. More precisely, a novel unsupervised neural-projection method for ...

    • Gaining deep knowledge of Android malware families through dimensionality reduction techniques 

      Vega-Vega, Rafael A.; Quintián, Héctor; Calvo-Rolle, José Luis; Herrero, Alvaro; Corchado, Emilio (Oxford University Press, 2019-04)
      [Abstract] This research proposes the analysis and subsequent characterisation of Android malware families by means of low dimensional visualisations using dimensional reduction techniques. The well-known Malgenome data ...

    • Intrusion Detection With Unsupervised Techniques for Network Management Protocols Over Smart Grids 

      Vega-Vega, Rafael A.; Chamoso, Pablo; González Briones, Alfonso; Casteleiro-Roca, José-Luis; Jove, Esteban; Meizoso-López, María-Carmen; Rodríguez Gómez, Benigno Antonio; Quintián, Héctor; Herrero, Alvaro; Matsui, Kenji; Corchado, Emilio; Calvo-Rolle, José Luis (MDPI AG, 2020-03-27)
      [Abstract] The present research work focuses on overcoming cybersecurity problems in the Smart Grid. Smart Grids must have feasible data capture and communications infrastructure to be able to manage the huge amounts of ...