ListarGrupo de Ciencia e Técnica Cibernética (CTC) por tema "Android malware"
Mostrando ítems 1-3 de 3
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Beta-Hebbian Learning to enhance unsupervised exploratory visualizations of Android malware families
(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
(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
(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 ...