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My Smartwatch is Mine - Machine Learning Based Theft Detection of Smartwatches

Roth, Christian ; Nitschke, Mirja ; Hutzler, Christian ; Koller, Maximilian ; Küffner, Rolf ; Roßberger, Marc ; Kesdogan, Dogan



Abstract

Smartwatches are small but powerful devices which make daily life easier and are without a doubt desirable objects for thieves. In this paper, we present a first machine learning based theft detection approach running in a user's domain, relying solely on data of his smartwatch and thus not violating privacy. Hence, we collect data from multiple persons to first prove that there is an exploitable ...

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