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In this paper, we propose an approach for user authentication in smartphones using behavioral biometrics. The approach involves analyzing behavioral traits while the user performs different gestures during his interaction with the device. In addition to the commonly employed features such as x–y coordinate information and finger area, the proposed approach utilizes the information from orientation sensor for each of the seven gestures considered in this study. The feature set is further enriched with features such as accelerometer sensor reading, curvature of the swipe. Matching of corresponding features is performed using the modified Hausdorff distance. Performance evaluation of the proposed authentication approach on a dataset of 104 users yielded promising results, suggesting that the readings from orientation sensor carry useful information for reliably authenticating the users. In addition, experimental …