Memory-Efficient Fuzzy Fingerprint Vault based on the Geometric Hashing

Lee, Sung-Ju; Moon, Daesung; Choi, Han-Na; Chung, Yongwha

doi:10.1109/isa.2008.60

Cited by 11 publications

(8 citation statements)

References 7 publications

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“…The corresponding UNLOCK function takes as input a vault V A and a biometric data (set B) and outputs k if B is close enough to A, or null, otherwise. Based on the fuzzy vault, some implementation results for fingerprint have been reported [2,3,8,10].…”

Section: D Lattice Structures To Protect the Correlation Attackmentioning

confidence: 99%

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Secure fuzzy fingerprint vault against correlation attack

Lee

Choi²,

Moon³

et al. 2009

IEICE Electron. Express

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Abstract:The fuzzy vault scheme has emerged as a promising solution to the user privacy and the fingerprint template security problems. Recently, however, this scheme is shown to be susceptible to a correlation attack that finds the real minutiae using multiple vaults enrolled for different applications. To protect the fuzzy fingerprint vault from the correlation attack, we propose an approach to add chaffs in a more structured way such that distinguishing the fingerprint minutiae and the chaff points obtained from two applications is computationally hard. Experimental results show that the proposed approach achieves much secure performance than adding chaffs randomly without a significant degradation of the verification accuracy.

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Section: D Lattice Structures To Protect the Correlation Attackmentioning

confidence: 99%

“…Thus, adding more chaffs for higher security requires a larger geometric hash table. The details of this memory reduction technique by paying more time can be found in [8,9,10].…”

Section: D Lattice Structures To Protect the Correlation Attackmentioning

confidence: 99%

Secure fuzzy fingerprint vault against correlation attack

Lee

Choi²,

Moon³

et al. 2009

IEICE Electron. Express

Self Cite

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“…In their paper, the authors instance the movie lover who wants to find someone with similar preference. Due to its error-tolerance property, the fuzzy vault scheme has been utilized in various researches, especially in biometrics area [2][3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Matchmaker: Fuzzy Vault Scheme for Weighted Preference

Purevsuren¹,

Kang²,

Nyang³

et al. 2016

Journal of the Korea Institute of Information Security and Cryp

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Juels and Sudan's fuzzy vault scheme has been applied to various researches due to its error-tolerance property. However, the fuzzy vault scheme does not consider the difference between people's preferences, even though the authors instantiated movie lover' case in their paper. On the other hand, to make secure and high performance face authentication system, Nyang and Lee introduced a face authentication system, so-called fuzzy face vault, that has a specially designed association structure between face features and ordinary fuzzy vault in order to let each face feature have different weight. However, because of optimizing intra/inter class difference of underlying feature extraction methods, we can easily expect that the face authentication system does not successfully decrease the face authentication failure. In this paper, for ensuring the flexible use of the fuzzy vault scheme, we introduce the bucket structure, which differently implements the weighting idea of Nyang and Lee's face authentication system, and three distribution functions, which formalize the relation between user's weight of preferences and system implementation. In addition, we suggest a matchmaker scheme based on them and confirm its computational performance through the movie database.

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“…Practically, the fingerprints are reliable biometric features, and their minutiae can be represented as an unordered set [6]. Therefore, the most practical fuzzy vault schemes are implemented using fingerprints [6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Besides this, some implementations using other modalities are presented in [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

“…The disadvantages of their schemes are: (i) the basic features could not represent the topology information of the entire fingerprint, and they could be modified by non-linear deformation of a fingerprint and (ii) their minutiae sets were aligned within a black box. Similar to [6,7], the fuzzy vault schemes proposed in [8][9][10][11][12] used the minutiae for the vault templates, which required the www.ietdl.org automatic alignment schemes to prove the effectiveness of solving the distortion in a fingerprint image. These schemes effectively solved the distortion of the fingerprint image; however, their alignment schemes were complicated.…”

Section: Introductionmentioning

confidence: 99%

Performance and security‐enhanced fuzzy vault scheme based on ridge features for distorted fingerprints

Thi¹,

Wang

et al. 2015

IET biom.

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The fuzzy vault scheme is a well-known technique to protect the fingerprint templates and its secret key simultaneously in biometric systems. The performance of the fuzzy vault scheme is affected if collected fingerprint images are distorted. It is proved that ridge features of a fingerprint image have the advantage of being invariant to any geometric transformations. Therefore, the authors proposed a novel fingerprint fuzzy vault scheme based on ridge features information with the goal of improving its performance for distorted fingerprint images. They also proposed a novel noise generation technique to improve the security of the proposed fuzzy vault scheme. Experiments are carried on FVC2002 and FVC2004 databases, which include distorted fingerprint images. When the key size is 160 bit, the genuine accept rate is 89 and 75% with 0% false accept rate on FVC2002-DB2A and FVC2004-DB3A, respectively. Experimental results show that the proposed scheme achieves better performance than the existing methods. The security level of the proposed system is evaluated based on the min-entropy analysis and the degree of freedom of generated noise points. The security of their proposed fuzzy vault scheme is ∼42 bits. This proves that the proposed scheme maintains the security when dealing with distorted fingerprint images.

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Memory-Efficient Fuzzy Fingerprint Vault based on the Geometric Hashing

Cited by 11 publications

References 7 publications

Secure fuzzy fingerprint vault against correlation attack

Secure fuzzy fingerprint vault against correlation attack

Matchmaker: Fuzzy Vault Scheme for Weighted Preference

Performance and security‐enhanced fuzzy vault scheme based on ridge features for distorted fingerprints

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