Abstract
Currently smartphone’ users run many crucial applications (such as banking and emails) which contains a very confidential information. To secure this information, the built in sensors equipped with smartphone devices can be utilized. In this paper, based on these sensors, an implicit authentication system for smartphone’s users is proposed. A mobile App is developed to collect the data source of users’ biometrics and then features (pressure, position, size, and time) are extracted. classifiers were then applied to decide whether a user is the true owner of device or an impostor. The experimental results showed that our implicit authentication system achieved accuracy of 96.5 % which is better than a related work.
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Acknowledgments
This paper has been elaborated in the framework of the project New creative teams in priorities of scientific research, reg. no. CZ.1.07/2.3.00/30.0055, supported by Operational Programme Education for Competitiveness and co-financed by the European Social Fund and the state budget of the Czech Republic and supported by the IT4Innovations Centre of Excellence project (CZ.1.05/1.1.00/ 02.0070), funded by the European Regional Development Fund and the national budget of the Czech Republic via the Research and Development for nnovations Operational Programme.
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Amin, R., Gaber, T., ElTaweel, G. (2015). Implicit Authentication System for Smartphones Users Based on Touch Data. In: Abraham, A., Jiang, X., Snášel, V., Pan, JS. (eds) Intelligent Data Analysis and Applications. Advances in Intelligent Systems and Computing, vol 370. Springer, Cham. https://doi.org/10.1007/978-3-319-21206-7_22
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DOI: https://doi.org/10.1007/978-3-319-21206-7_22
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