Sanju Xaviar, Kalyan Sasidhar and Preeja Pradeep

Smartphone usage has reached its peak. There has been a tremendous growth in the number of people migrating from PCs to smart phones. Numerous scenarios such as loss of a phone, phone theft etc., can lead to unauthorized use of one’s own smartphone. This raises the concern for securing personal and private data. This project proposes a light weight two level user identification scheme to recognize and authenticate the mobile phone based on the device holding and usage patterns. To validate the proposed scheme, an application is created which takes a gesture input characterized by time of swiping the screen, finger pressure, phone movements and location of swipe on the screen through X and Y co-ordinate. A threshold based matching scheme performs classification to find the true owner. Results show that the scheme was able to achieve 90% true positives and 10% false positives with a 0.5% of battery usage.

Smartphones, Security, User authentication, Touch screen, Sensor, Gesture