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2018 | OriginalPaper | Buchkapitel

Masquerade Detection on Mobile Devices

verfasst von : Swathi Nambiar Kadala Manikoth, Fabio Di Troia, Mark Stamp

Erschienen in: Guide to Vulnerability Analysis for Computer Networks and Systems

Verlag: Springer International Publishing

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Abstract

A masquerade is a type of attack where an intruder attempts to avoid detection by impersonating an authorized user of a system. In this research, we consider the problem of masquerade detection on mobile devices. Specifically, we experiment with a variety of machine learning techniques to determine how accurately we can distinguish mobile users, based on various features. Here, our primary goal is to determine which techniques are most likely to be effective in a more comprehensive masquerade detection system.

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Titel: Masquerade Detection on Mobile Devices
verfasst von: Swathi Nambiar Kadala Manikoth
Fabio Di Troia
Mark Stamp
Verlag: Springer International Publishing
Buch: Guide to Vulnerability Analysis for Computer Networks and Systems
Print ISBN: 978-3-319-92623-0

Electronic ISBN: 978-3-319-92624-7

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-92624-7_13

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