Abstract
To quantify the amount of high-level context information which can be derived by observing only a user’s touchscreen interactions, we performed a user study, in which we recorded 160 touch interaction sessions from users running different applications, and then applied both classical machine learning methods and deep learning methods to the results. Our results show that it is possible to derive higher-level user context information based on touch events alone, validating the efficacy of touch injection attacks.
This research was supported by Israel Science Foundation grants 702/16 and 703/16.
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Azran, M., Shabat, N.B., Shkolnik, T., Oren, Y. (2018). Brief Announcement: Deriving Context for Touch Events. In: Dinur, I., Dolev, S., Lodha, S. (eds) Cyber Security Cryptography and Machine Learning. CSCML 2018. Lecture Notes in Computer Science(), vol 10879. Springer, Cham. https://doi.org/10.1007/978-3-319-94147-9_23
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DOI: https://doi.org/10.1007/978-3-319-94147-9_23
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