• Beta-Hebbian Learning to enhance unsupervised exploratory visualizations of Android malware families 

      Basurto, Nuño; García-Prieto, Diego; Quintián, Héctor; Urda Muñoz, Daniel; Calvo-Rolle, José Luis; Corchado, Emilio (Oxford University Press, 2024-05-20)
      [Abstract] As it is well known, mobile phones have become a basic gadget for any individual that usually stores sensitive information. This mainly motivates the increase in the number of attacks aimed at jeopardizing ...
    • 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 ...