The Ride-hailing Spoof Detection based on the Sensor Measurement Consistency

Da-Peng Li and Hai-Tao Wu

Abstract:	Although the ride-hailing applications benefit the public, there are some lawless users trying to make profit from the ride-hailing spoof. A spoof detection method for smart phone based on the measurement consistency of sensors is presented in this paper. To mitigate the different characteristic of the sensor measurement, which would bring much difficult to the direct comparison, the peak interval probability distribution of smart phone sensors is used as the feature. Two-sample Kolmogorov-Smirnov (K-S) test and Dempster–Shafer (D-S) theory are applied for the statistical decision of the ride-hailing spoof. The experimental results show that the proposed method could identify the ride-hailing spoof correctly.
Published in:	Proceedings of the 30th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2017) September 25 - 29, 2017 Oregon Convention Center Portland, Oregon
Pages:	402 - 407
Cite this article:	Li, Da-Peng, Wu, Hai-Tao, "The Ride-hailing Spoof Detection based on the Sensor Measurement Consistency," Proceedings of the 30th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2017), Portland, Oregon, September 2017, pp. 402-407. https://doi.org/10.33012/2017.15196
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