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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 ...
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 ...
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 ...