Secure Biometrics Via Syndromes

We consider the secure biometric storage problem and develop a solution using syndrome codes. Specifically, biometrics such as fingerprints, irises, and faces are often used for authentication, access control, and encryption instead of passwords. While it is well known that passwords should never be stored in the clear, current systems often store biometrics in the clear and are easily compromised. We describe the secure biometric storage problem by discussing the insecurities in current systems, the reasons why password hashing/encryption algorithms are unsuitable for biometrics, and propose a secure biometric storage framework based on syndrome codes and the Slepian-Wolf theorem. 43rd Annual Allerton Conference on Communications, Control, and Computing This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Copyright c ©Mitsubishi Electric Research Laboratories, Inc., 2005 201 Broadway, Cambridge, Massachusetts 02139