Fuzzy Biometric Identity-Based Signature in the Standard Model
2010 ◽
Vol 44-47
◽
pp. 3350-3354
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Keyword(s):
Using a biometric as an identity has the advantage that identities are unique if the underlying biometric is of a good quality, such as fingerprints, faces, irises, etc. However, biometric measurements are noisy and the existing identity-based systems cannot be used directly to construct this scheme. The error-tolerance property(Fuzzy) can be used to solve this problem. Based on the error-tolerance property, a new biometric identity based signature scheme is proposed. Our scheme is constructed in the standard model and achieves a strong security-full security. In addition, the security of our scheme is reduced to a generalized assumption-Computation Diffie-Hellman(CDH) assumption instead of other strong assumptions.
2011 ◽
Vol 148-149
◽
pp. 474-477
2011 ◽
Vol 148-149
◽
pp. 112-115
2016 ◽
Vol 42
(2)
◽
pp. 639-649
◽
Keyword(s):
2011 ◽
Vol 474-476
◽
pp. 1356-1361
Keyword(s):
2016 ◽
Vol 9
(14)
◽
pp. 2422-2433
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2011 ◽
Vol 48-49
◽
pp. 599-602
◽
Keyword(s):
2008 ◽
Vol 13
(6)
◽
pp. 665-669
◽
2012 ◽
Vol 35
(9)
◽
pp. 1874
◽
Keyword(s):
2013 ◽
Vol E96.A
(3)
◽
pp. 721-723
◽
Keyword(s):
2019 ◽
Vol 11
(1)
◽
pp. 1