BASIS: Biometric Authentication Supporting Invisible Security


Project Description


The project will address a) the problem of transparent biometric authentication (i.e. not requiring specific user actions) as a means to enhance user convenience, b) the problem of anonymous biometric authentication (i.e. not requiring the storage of privacysensitive biometric data) as a means to protect the user's privacy, and c) the specific problems of the use of biometric authentication in the home environment. Transparent and anonymous biometrics, integrated in the private network of a home environment, will increase the user acceptance of the 'ambient-intelligence scenario', as it combines user convenience with a basic notion of trust in the ambient system. At the same time, it guarantees a sufficient level of security to the providers of information and services.

Methods will be presented a) to make biometric authentication transparent, b) to increase the authentication performance by combining biometric measurements obtained either in parallel or sequentially, c) to use biometric data to encrypt information in such a way that the biometric data cannot be retrieved from the encrypted information and d) to integrate transparent and/or anonymous biometric authentication a secure and user-convenient way in the private network of a home environment. These methods will be implemented in prototypes, which are to be demo nstrated and tested in the Philips HomeLab. The scientific results will be published in journal and conference papers and three PhD theses.

Results and Publications

Ignatenko, T. (2009). Secret-key rates and privacy leakage in biometric systems. Eindhoven: Technische Universiteit Eindhoven. ((Co-)promot.: J.W.M. Bergmans, F.M.J. Willems). ISBN 978-90-386-1832-6

T. Ignatenko and F.M.J. Willems, “Information Leakage in Fuzzy Commitment Schemes,” in IEEE Transactions on Information Forensics and Security, vol.5, no.2, June 2010, pp. 337-348

T. Ignatenko and F.M.J. Willems, “Biometric Systems: Privacy and Secrecy Aspects,” in IEEE Transactions on Information Forensics and Security, vol. 4, no.4, Dec. 2009, pp. 956-973 (2011 IEEE Signal Processing Society Best Paper Award)


TU Eindhoven, The Netherlands
Twente University (Coordinator), The Netherlands
Centrum Wiskunde & Informatica (CWI), Amsterdam, The Netherlands
Philips Electronics B.V., the Netherlands

User Commitee

Philips Electronics B.V., the Netherlands
TNO, the Netherlands
European Biometrics Forum (EBF)