Fuzzy commitment of Juels and Wattenberg 1999 is a popular technique for designing secure systems based on noisy data. The scheme is easy to implement using standard error-correcting codes. However, secrecy of this scheme is only guaranteed when input data are generated by uniform i.i.d. sources, while typical input data (PUFs and biometrics) are not uniform. In this paper we address the problem of extracting robust independent uniformly distributed bits out of noisy data that can be used as entries to fuzzy commitment. The proposed techniques can serve as a building block of secure fuzzy commitment systems. © 2009 IEEE.
|Title of host publication||Proceedings of the 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 12-14 September 2009, Kyoto|
|Place of Publication||Piscataway|
|Publisher||Institute of Electrical and Electronics Engineers|
|Publication status||Published - 2009|