This work deals with the security challenges in authentication protocols employing volatile biometric features, where the authentication is indeed a comparison between a fresh biometric template and that enrolled during the enrollment phase. We propose a security model for biometric-based authentication protocols by assuming that the biometric features to be public. Extra attention is paid to the privacy issues related to the sensitive relationship between a biometric feature and the relevant identity. Relying on the Goldwasser-Micali encryption scheme, we introduce a protocol for biometric-based authentication and prove its security in our security model. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Bringer, J., Chabanne, H., Izabachène, M., Pointcheval, D., Qiang, T., & Zimmer, S. (2007). An application of the goldwasser-micali cryptosystem to biometric authentication. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4586 LNCS, pp. 96–106). Springer Verlag. https://doi.org/10.1007/978-3-540-73458-1_8
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