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- W2766435929 abstract "This paper proposes a new mobile phone user authentic scheme. It discerns a particular user by the smartphone sensor data which is collected when he picks his phone up from table. The data from phone sensors which collected by preprocessing method, it includes denoising, interception and normalization. Precondition the sensor data with denoising and signal truncating technology, then normalize it, finally classify the data by Dynamic Time Warping (DTW) algorithm. This scheme also has the intelligent anti-theft function. Experiments showed that this scheme achieved good results: False Acceptance Rate (FAR) is 13.1%, False Reject Rate (FRR) is 11%." @default.
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- W2766435929 date "2016-12-01" @default.
- W2766435929 modified "2023-09-26" @default.
- W2766435929 title "An authentication method based on user specific behavior" @default.
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- W2766435929 doi "https://doi.org/10.1109/iccsnt.2016.8070134" @default.
- W2766435929 hasPublicationYear "2016" @default.
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