Multi-biometric template protection — A security analysis of binarized statistical features for bloom filters on smartphones

2016 ◽  
Author(s):  
Martin Stokkenes ◽  
Raghavendra Ramachandra ◽  
Morten K. Sigaard ◽  
Kiran Raja ◽  
Marta Gomez-Barrero ◽  
...  
Keyword(s):  
Security Analysis ◽  
Bloom Filters ◽  
Statistical Features ◽  
Biometric Template ◽  
Template Protection ◽  
Biometric Template Protection

Biometric Template Protection Using Spiral Cube: Performance and Security Analysis

2016 ◽  
Vol 25 (01) ◽  
pp. 1550027 ◽  
Author(s):  
Chouaib Moujahdi ◽  
George Bebis ◽  
Sanaa Ghouzali ◽  
Mounia Mikram ◽  
Mohammed Rziza
Keyword(s):  
Chaotic Behavior ◽  
Logistic Map ◽  
Security Analysis ◽  
Personal Data ◽  
Random Projection ◽  
Biometric Template ◽  
Template Protection ◽  
And Performance ◽  
Biometric Templates ◽  
Biometric Template Protection

Personal authentication systems based on biometrics have given rise to new problems and challenges related to the protection of personal data, issues of less concern in traditional authentication systems. The irrevocability of biometric templates makes biometric systems very vulnerable to several attacks. In this paper we present a new approach for biometric template protection. Our objective is to build a non-invertible transformation, based on random projection, which meets the requirements of revocability, diversity, security and performance. In this context, we use the chaotic behavior of logistic map to build the projection vectors using a methodology that makes the construction of the projection matrix depend on the biometric template and its identity. The proposed approach has been evaluated and compared with Biohashing and BioPhasor using a rigorous security analysis. Our extensive experimental results using several databases (e.g., face, finger-knuckle and iris), show that the proposed technique has the ability to preserve and increase the performance of protected systems. Moreover, it is demonstrated that the security of the proposed approach is sufficiently robust to possible attacks keeping an acceptable balance between discrimination, diversity and non-invertibility.

scholarly journals Biometric template protection based on Bloom filters and honey templates

2016 ◽  
Vol 6 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Edlira Martiri ◽  
Marta Gomez‐Barrero ◽  
Bian Yang ◽  
Christoph Busch
Keyword(s):  
Bloom Filters ◽  
Biometric Template ◽  
Template Protection ◽  
Biometric Template Protection

Unlinkable and irreversible biometric template protection based on bloom filters

2016 ◽  
Vol 370-371 ◽  
pp. 18-32 ◽  
Author(s):  
Marta Gomez-Barrero ◽  
Christian Rathgeb ◽  
Javier Galbally ◽  
Christoph Busch ◽  
Julian Fierrez
Keyword(s):  
Bloom Filters ◽  
Biometric Template ◽  
Template Protection ◽  
Biometric Template Protection

Multi-biometric template protection based on bloom filters

2018 ◽  
Vol 42 ◽  
pp. 37-50 ◽  
Author(s):  
Marta Gomez-Barrero ◽  
Christian Rathgeb ◽  
Guoqiang Li ◽  
Raghavendra Ramachandra ◽  
Javier Galbally ◽  
...  
Keyword(s):  
Bloom Filters ◽  
Biometric Template ◽  
Template Protection ◽  
Biometric Template Protection

scholarly journals Palmprint Based Multidimensional Fuzzy Vault Scheme

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Hailun Liu ◽  
Dongmei Sun ◽  
Ke Xiong ◽  
Zhengding Qiu
Keyword(s):  
Error Correcting Code ◽  
Experimental Results ◽  
Fuzzy Vault ◽  
Biometric Template ◽  
Template Protection ◽  
Biometric Template Protection

Fuzzy vault scheme (FVS) is one of the most popular biometric cryptosystems for biometric template protection. However, error correcting code (ECC) proposed in FVS is not appropriate to deal with real-valued biometric intraclass variances. In this paper, we propose a multidimensional fuzzy vault scheme (MDFVS) in which a general subspace error-tolerant mechanism is designed and embedded into FVS to handle intraclass variances. Palmprint is one of the most important biometrics; to protect palmprint templates; a palmprint based MDFVS implementation is also presented. Experimental results show that the proposed scheme not only can deal with intraclass variances effectively but also could maintain the accuracy and meanwhile enhance security.

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