37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'07) User Discrimination through Structured Writing on PDAs Edinburgh, UK June 25-June 28 ISBN: 0-7695-2855-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DSN.2007.97
This paper explores whether features of structured writing can serve to discriminate users of handheld devices such as Palm PDAs. Biometric authentication would obviate the need to remember a password or to keep it secret, requiring only that a user?s manner of writing confirm his or her identity. Presumably, a user?s dynamic and invisible writing style would be difficult for an imposter to imitate. We show how handwritten, multi-character strings can serve as personalized, non-secret passwords. A prototype system employing support vector machine classifiers was built to discriminate 52 users in a closed-world scenario. On high-quality data, strings as short as four letters achieved a false-match rate of 0.04%, at a corresponding false non-match rate of 0.64%. Strings of at least 8 to 16 letters in length delivered perfect results--a 0% equal-error rate. Very similar results were obtained upon decreasing the data quality or upon increasing the data quantity.
Citation:
Rachel R.M. Roberts, Roy A. Maxion, Kevin S. Killourhy, Fahd Arshad, "User Discrimination through Structured Writing on PDAs," dsn, pp.378-388, 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'07), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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