Touchscreen patterns based authentication approach for smart phones

Recently, smart phones have been used not only for communication, but also for, storing confidential and business information. As a result, the theft or hacking of a mobile phone can lead to disastrous implications, such as intrusion of privacy and monetary loss. In this paper, the application of different biometric features for authentication in smart phones is presented. Also, the differences between various touchscreen patterns in terms of data capturing and template creation are shown. In the experiments, device orientation and speed are used to present the effectiveness and efficiency of using biometrics for authentication in smart phones. Two applications were implemented to collect the different biometric features. After that, kmeans clustering technique was applied on the collected data and the accuracy was measured. The main conclusion is that biometrics related to touch behavior is feasible to authenticate users.