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Smartphone usage has reached its peak. There has be en a tremendous growth in the number of people migrating from PCs to smart phones. Numerous scenar ios such as loss of a phone, phone theft etc., can lead to unauthorized use of one’s own smartphone. T his raises the concern for securing personal and private data. This project proposes a light weight two level user identification scheme to recognize a nd authenticate the mobile phone based on the device h olding and usage patterns. To validate the proposed scheme, an application is created which takes a ges ture input characterized by time of swiping the scr een, finger pressure, phone movements and location of sw ipe on the screen through X and Y co-ordinate. A threshold based matching scheme performs classifica tion to find the true owner. Results show that the scheme was able to achieve 90% true positives and 1 0% false positives with a 0.5% of battery usage.

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