Abstract
Currently most mobile phones use touch screen, In addition the behavior of user’s touch gesture is significantly important in interaction with the phone. Due to increasing demand for safer access in touch screen mobile phones, old strategies like pins, tokens, or passwords have failed to stay abreast of the challenges. However, we study user authentication scheme based on this touch dynamics features for accurate user authentication. We developed the software needed to collect readings from touch screen of mobile phone running the Android operation system. Several touch dynamics features are examined to explore the efficiency of feature and each category (similar processing and representation form). Also, the impact of normalization and seven feature selection algorithms are examined. After applying Exhaustive Search reduction technique to the observation vectors composed of all 12 extracted features, nine features are retained.
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Alariki, A.A., Manaf, A.A. (2014). Investigation of Touch-Based User Authentication Features Using Android Smartphone. In: Hassanien, A.E., Tolba, M.F., Taher Azar, A. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2014. Communications in Computer and Information Science, vol 488. Springer, Cham. https://doi.org/10.1007/978-3-319-13461-1_14
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DOI: https://doi.org/10.1007/978-3-319-13461-1_14
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13460-4
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