TY - GEN
T1 - Privacy-preserving fuzzy commitment for biometrics via layered error-correcting codes
AU - Yasuda, Masaya
AU - Shimoyama, Takeshi
AU - Abe, Narishige
AU - Yamada, Shigefumi
AU - Shinzaki, Takashi
AU - Koshiba, Takeshi
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - With the widespread development of biometrics, concerns about security and privacy are increasing. In biometrics, template protection technology aims to protect the confidentiality of biometric templates (i.e., enrolled biometric data) by certain conversion. The fuzzy commitment scheme gives a practical way to protect biometric templates using a conventional error-correcting code. The scheme has both concealing and binding of templates, but it has some privacy problems. Specifically, in case of successful matching, stored biometric templates can be revealed. To address such problems, we improve the scheme. Our improvement is to coat with two error-correcting codes. In particular, our scheme can conceal stored biometric templates even in successful matching. Our improved scheme requires just conventional error-correcting codes as in the original scheme, and hence it gives a practical solution for both template security and privacy of biometric templates.
AB - With the widespread development of biometrics, concerns about security and privacy are increasing. In biometrics, template protection technology aims to protect the confidentiality of biometric templates (i.e., enrolled biometric data) by certain conversion. The fuzzy commitment scheme gives a practical way to protect biometric templates using a conventional error-correcting code. The scheme has both concealing and binding of templates, but it has some privacy problems. Specifically, in case of successful matching, stored biometric templates can be revealed. To address such problems, we improve the scheme. Our improvement is to coat with two error-correcting codes. In particular, our scheme can conceal stored biometric templates even in successful matching. Our improved scheme requires just conventional error-correcting codes as in the original scheme, and hence it gives a practical solution for both template security and privacy of biometric templates.
KW - Biometric template protection
KW - Errorcorrecting codes
KW - Fuzzy commitment
UR - http://www.scopus.com/inward/record.url?scp=84960460316&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84960460316&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-30303-1_8
DO - 10.1007/978-3-319-30303-1_8
M3 - Conference contribution
AN - SCOPUS:84960460316
SN - 9783319303024
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 117
EP - 133
BT - Foundations and Practice of Security - 8th International Symposium, FPS 2015, Revised Selected Papers
A2 - Garcia-Alfaro, Joaquin
A2 - Bonfante, Guillaume
A2 - Kranakis, Evangelos
PB - Springer Verlag
T2 - 8th International Symposium on Foundations and Practice of Security, FPS 2015
Y2 - 26 October 2015 through 28 October 2015
ER -