Adaptive algorithms in accelerometer biometrics

Abstract

Nowadays, many services are available from mobile devices, like smartphones. A growing number of people are using these devices to access bank accounts, social networks and to store personal information. However, common authentication mechanisms already present in these devices may not provide enough security. Recently, a new authentication method, named accelerometer biometrics, has been proposed. This method allows the identification of users using accelerometer data. Accelerometers, usually present in modern smartphones, are devices that measure acceleration forces. In accelerometer biometrics, a model is induced for the user of the smartphone. However, as a behavioral biometric technology, user models may became outdated over time. This paper investigates the use of adaptation mechanisms to update biometric user models induced by accelerometer data along the time. The paper also proposes and evaluates a new adaptation mechanism with promising experimental results.