Oily residues left by tapping fingers on a touch screen may breach user privacy. In this paper, we introduce the fingerprint attack against touch-enabled devices. We dust the touch screen surface to reveal fingerprints, and use an iPhone camera to carefully photograph fingerprints while striving to remove the virtual image of the phone from the fingerprint image. We then sharpen the fingerprints in an image via various image processing techniques and design effective algorithms to automatically map fingerprints to a keypad in order to infer tapped passwords. Extensive experiments were conducted on iPad, iPhone and Android phone and the results show that the fingerprint attack is effective and efficient in inferring passwords from fingerprint images. To the best of our knowledge, we are the first using fingerprint powder on touch screen and inferring passwords from fingerprints. Video at http://www.youtube.com/watch?v= vRUbJIcV9vg shows the dusting process on iPhone and video at http://www.youtube.com/watch?v=6jS6KroER3Y shows the dusting process on iPad. After dusting, password characters for login are clearly disclosed.
In fingerprint attack, fingerprint powder is needed to dust the touch screen to reveal fingerprints left from tapping fingers and then the fingerprints are sharpened to obtain the unlock passwords REF .
Fingerprint attack against touch-enabled devices
SPSM '12
Computer Science