Projects

Multimodal Privacy Protective Systems

A serious concern in the design and use of biometric systems is the privacy protection of the information derived from human biometric traits, especially since such traits cannot be replaced. Combining cryptography and biometrics, several recent works proposed to build the protection in the biometric templates themselves. While these solutions can increase the confidence in biometric systems when biometric information is stored for verification, they have been shown difficult to apply to real biometrics.

We have studies biometric authentication techniques that exploit multiple biometric traits. They are privacy-aware as they ensure privacy protection and allow the extraction of secure identifiers by means of cryptographic primitives. A particularly promising implemented method combines iris and fingerprint biometric data stored in biometric documents to perform privacy protective identity verifications.

Schema of the proposed approach for the privacy protection in multimodal biometric systems based on the iris and fingerprint traits

Acknowledgements

This work was supported in part by the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement n 216483.
References
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  • S. Cimato, M. Gamassi, V. Piuri, R. Sassi, F. Scotti, "Privacy-aware biometrics: design and implementation of a multimodal verification system", in Proc. of the 2008 Annual Computer Security Applications Conf. (ACSAC 2008), Anaheim, CA, USA, pp. 130-139, December 8-12, 2008. ISBN: 978-0-7695-3447-3. [DOI: 10.1109/ACSAC.2008.13][PDF]
  • S. Cimato, M. Gamassi, V. Piuri, R. Sassi, F. Scotti, "A multi-biometric verification system for the privacy protection of iris templates", in Proc. of the Int. Workshop on Computational Intelligence in Security for Information Systems (CISIS 2008), Genova, Italy, pp. 227-234, October 23-24, 2008. ISBN: 978-3-540-88180-3. [DOI: 10.1007/978-3-540-88181-0_29][PDF]
  • A. Azzini, S. Marrara, R. Sassi, F. Scotti, "A Fuzzy Approach to Multimodal Biometric Authentication", in Proc. of the 11th Int. Conf on Knowledge-Based Intelligent Information and Engineering Systems (KES 2007), XVII Italian Workshop on Neural Networks, Springer Berlin / Heidelberg, Vietri sul Mare, Italy, pp. 801-808, September 12-14, 2007. ISBN: 978-3-540-74826-7. [DOI: 10.1007/978-3-540-74827-4_101]
  • S. Cimato, M. Gamassi, V. Piuri, D. Sana, R. Sassi, F. Scotti, "Personal identification and verification using multimodal biometric data", in Proc. of the 2006 IEEE Int. Conf. on Computational Intelligence for Homeland Security and Personal Safety (CIHSPS 2006), Alexandria, VA, USA, pp. 41-45, October 16-17, 2006. ISBN: 1-4244-0745-1. [DOI: 10.1109/CIHSPS.2006.313309][PDF]
  • M. Gamassi, V. Piuri, D. Sana, O. Scotti, F. Scotti, "A multi-modal multi-paradigm agent-based approach to design scalable distributed biometric systems", in Proc. of the 2005 IEEE Int. Conf. on Computational Intelligence for Homeland Security and Personal Safety (CIHSPS 2005), Orlando, FL, USA, pp. 65-70, April 1, 2005. ISBN: 0-7803-9175-6. [DOI: 10.1109/CIHSPS.2005.1500613][PDF]
  • M. Gamassi, V. Piuri, D. Sana, F. Scotti, "A high-level optimum design methodology for multimodal biometric systems", in Proc. of the 2004 IEEE Int. Conf. on Computational Intelligence for Homeland Security and Personal Safety (CIHSPS 2004), Venice, Italy, pp. 117-124, July 21-22, 2004. ISBN: 0-7803-8381-8. [DOI: 10.1109/CIHSPS.2004.1360221][PDF]