Today I read a paper titled “SilentSense: Silent User Identification via Dynamics of Touch and Movement Behavioral Biometrics”
The abstract is:
With the increased popularity of smartphones, various security threats and privacy leakages targeting them are discovered and investigated
In this work, we present \ourprotocoltight, a framework to authenticate users silently and transparently by exploiting dynamics mined from the user touch behavior biometrics and the micro-movement of the device caused by user’s screen-touch actions
We build a “touch-based biometrics” model of the owner by extracting some principle features, and then verify whether the current user is the owner or guest/attacker
When using the smartphone, the unique operating dynamics of the user is detected and learnt by collecting the sensor data and touch events silently
When users are mobile, the micro-movement of mobile devices caused by touch is suppressed by that due to the large scale user-movement which will render the touch-based biometrics ineffective
To address this, we integrate a movement-based biometrics for each user with previous touch-based biometrics
We conduct extensive evaluations of our approaches on the Android smartphone, we show that the user identification accuracy is over 99%