DocumentCode :
643741
Title :
A fingerprint fuzzy vault scheme using a fast chaff point generation algorithm
Author :
Thi Hanh Nguyen ; Yi Wang ; Trung Nhan Nguyen ; Renfa Li
Author_Institution :
Sch. of Inf. Sci. & Eng., Hunan Univ., Changsha, China
fYear :
2013
fDate :
5-8 Aug. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Fuzzy vault is one of the most popular algorithms, which is used to protect the biometric templates and secret key simultaneously. In the fuzzy vault scheme, the biometric features are used to lock and unlock the secret key, which is encoded in the coefficients of a polynomial equation. Its security depends on the infeasibility of the polynomial reconstruction problem. Additionally, the vault performance can be enhanced by adding more noise (chaff) points to the vault. For a real-time implementation of the bio-cryptosystem, as would be required in today´s information security system, existing methods for chaff generation is inadequate. This paper proposed and employed a new fast chaff point generation algorithm which is less time-consuming for producing more points to improve the performance and security of fingerprint fuzzy vault scheme. Our experimental results show that the proposed algorithm achieves faster than existing algorithms and still satisfies the typical security need.
Keywords :
cryptography; encoding; fingerprint identification; fuzzy set theory; polynomials; biocryptosystem; biometric features; biometric templates; fast chaff point generation algorithm; fingerprint fuzzy vault scheme performance; fingerprint fuzzy vault scheme security; fuzzy vault performance; information security system; noise points; polynomial equation; polynomial reconstruction problem; secret key; Databases; Educational institutions; Euclidean distance; Fingerprint recognition; Image matching; Polynomials; Security; chaff generation; chaff points; fingerprint; fuzzy vault; template protection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
Conference_Location :
KunMing
Type :
conf
DOI :
10.1109/ICSPCC.2013.6664061
Filename :
6664061
Link To Document :
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