Abstract
Security through biometric keystroke and user action analysis on mobile phones is a new approach. Most of the existing solutions track only GPS location, which allows detecting theft. None of them support spy detection or short access of the intruder when the phone is away from its owner. In this paper, Authors present a solution that allows detecting intruder via analysis of typical user’s actions in the applications and way of writing - keystroke dynamics. Presented solutions can be run as an application on Android mobile devices and currently is distributed via Google Play Store alpha channel for testing by the limited number of users.
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Szczepanik, M., Jóźwiak, I. (2021). Intruder Detection on Mobile Phones Using Keystroke Dynamic and Application Usage Patterns. In: Korbicz, J., Patan, K., Luzar, M. (eds) Advances in Diagnostics of Processes and Systems. Studies in Systems, Decision and Control, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-030-58964-6_11
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DOI: https://doi.org/10.1007/978-3-030-58964-6_11
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