“In this paper, we utilize three sensors: the accelerometer, the orientation sensor and the magnetometer. We apply the SVM technique as the classification algorithm in the system, to distinguish the smartphone’s owner versus other users, who may potentially be attackers or thieves. In our experiments, we compare the authentication results for different sampling rates and different data sizes, which show a trade-off between accuracy performance and the computational complexity. Furthermore, we experiment with data from a single sensor and from a combination of two sensors, to compare their results with data from all three sensors.
We find that the authentication accuracy for the orientation sensor degrades more than that of the other two sensors. Therefore, the data collected from the orientation sensor is not as important as that from the accelerometer and magnetometer, which tend to measure more stable, longer-term characteristics of the user’s coarse-grained movements and his general physical location, respectively”