High-Entropy visual identification for touch screen devices

Authors:
Nathaniel Wesley Filardo;Giuseppe Ateniese
Affiliations:
Computer Science Department, Johns Hopkins University, Baltimore, MD;Computer Science Department, Johns Hopkins University, Baltimore, MD
Venue:
ISPEC'12 Proceedings of the 8th international conference on Information Security Practice and Experience
Year:
2012

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Abstract

We exhibit a system for improving the quality of user-derived keying material on touch-screen devices. We allow a device to recover previously generated, highly entropic data suitable for use as (part of) a strong secret key from a user's act of identifying to the device. Our system uses visual cryptography [21], using no additional electronics and no memorization on the part of the user. Instead, we require the use of a transparency overlaid on the touch-screen. Our scheme is similar to the identification scheme of [22] but tailored for constrained, touch-screen displays.