Sage Journals: Discover world-class research

Abstract

When taking into consideration user’s authentication technologies, systems can be divided into two main categories: (i) those that use passwords, keys, such as cards and tags and (ii) those that use biometric data, such as signature, fingerprint and voice. In this context, it is well understood that biometric systems, which were building based on biometric authentication technologies, emerge as safer authentication alternatives. In order to guarantee the security and thus the data stored accuracy, protection schemes for biometric authentication, such as the Fuzzy Vault and Fuzzy Commitment, have been adopted. In this work, we performed some improvements in the functioning of two well known fuzzy protection schemes, which are: Fuzzy Vault and Fuzzy Commitment, using the Papilio encryption algorithm. This combination leads to the proposal of new protection schemes called Papilio Fuzzy Vault and Papilio Fuzzy Commitment. We carried out an exploratory study using a suite of well-known biometric datasets. Our findings indicated gains in terms of security when comparing the proposed schemes to the original ones. However, the proposed schemes keep the same accuracy level of the original ones.

Keywords

Biometric fuzzy schemes Papilio Cryptosystem and Security

Get full access to this article

View all access options for this article.

References

Jain

A.K.

Hong

Pankanti

and Bolle

, An identity-authentication system using fingerprints, Proceedings of the IEEE 85(9) (1997), 1365–1388.

Wayman

J.L.

, Fundamentals of biometric authentication technologies, Int. J. Image Graphics (2001).

Iida

Kobayashi

and Kiya

, Secure identification based on Fuzzy Commitment scheme for JPEG XR images, in: 2016 24th European Signal Processing Conference (EUSIPCO), Budapest, 2016, pp. 968–972. doi: 10.1109/EUSIPCO.2016.7760392.

Argones Rua

Maiorana

Alba Castro

J.L.

and Campisi

, Biometric Template Protection Using Universal Background Models: An Application to Online Signature, IEEE Transactions on Information Forensics and Security 7(1) (February 2012), 269–282. doi: 10.1109/TIFS.2011.2168213.

Yang

and Niu

, Biometric-based personal identity-authentication system and security analysis, The Journal of China Universities of Posts and Telecommunications 13(4) (December 2006), 43–47. ISSN 1005-8885.

Juels

and Sudan

, A Fuzzy Vault Scheme, Des. Codes Cryptography 38(2) (February 2006), 237–257. doi: 10.1007/s10623-005-6343-z.

Juels

and Wattenberg

, A Fuzzy Commitment scheme, in: Proc. Sixth ACM Conference on Computer and Communications Security, Lausanne, Switzerland, 2008, pp. 1–17.

de Lima Filho

. Differential Cryptanalysis of the Papílio Msc. thesis, Departamento de Informática e Matemática Aplicada, Natal, Universidade Federal do Rio Grande do Norte, 2010.

Oliveira Filho

I.L.

Bedregal

B.R.C.

and Canuto

A.M.

, A comparative analysis of cryptographic algorithms and transformation functions for biometric data, in: 12th International Conference on Machine Learning and Applications, ICMLA 2013, Miami, FL, USA, December 4–7, 2013, Vol. 2, 2013, pp. 255–260. doi: 10.1109/ICMLA.2013.132.

10.

Araújo

F.S.

Ramos

K.D.N.

Bedregal

B.R.C.

and Silva

I.S.

, Papílio cryptography algorithm, in: Proceedings of the First international conference on Computational and Information Science, CIS’04, Springer-Verlag, Berlin, Heidelberg, 2004, pp. 928–933.

11.

Maiorana

Martinez-Diaz

Campisi

Ortega-Garcia

and Neri

, Template protection for hmm-based on-line signature authentication, in: IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW, 2008, pp. 1–6. doi: 10.1109/CVPRW.2008.4563114.

12.

Kong

Cheung

K.-H.

Zhang

Kamel

and You

, An analysis of biohashing and its variants, Pattern Recogn 39(7) (2006), 1359–1368. doi: 10.1016/j.patcog.2005.10.025.

13.

Rathgeb

and Uhl

, A survey on biometric cryptosystems and cancelable biometrics, EURASIP J. Information Security 2011 (2011).

14.

Plank

J.S.

, A tutorial on reed-solomon coding for fault-tolerance in raid-like systems, Softw. Pract. Exper. 27(9) (1997), 995–1012. doi>10.1002/(SICI)1097-024X(199709) 27:9<995::AID-SPE111>3.3.CO;2-Y.

15.

Nagar

Nandakumar

and Jain

A.K.

, Multibiometric cryptosystems based on feature-level fusion, IEEE Transactions on Information Forensics and Security 7(1) (2012), 255–268.

16.

Rua

E.A.

Maiorana

Castro

J.L.A.

and Campisi

, Biometric Template Protection Using Universal Background Models: An Application to Online Signature, IEEE Transactions on Information Forensics and Security 7(1) (2012), 269–282.

17.

Reed

and Solomon

, Polynomial codes over certain finite fields, SIAM Journal of Applied Math 8 (1960), 300–304.

18.

Almahafzah

and Alrwashdeh

M.Z.

, A survey of multibiometric systems, International Journal of Computer Applications 43(15) (2012), 36–43.

19.

Garofolo

J.S.

Lamel

L.F.

Fisher

W.M.

Fiscus

J.G.

Pallett

D.S.

and Dahlgren

N.L.

, DARPA TIMIT acoustic phonetic continuous speech corpus CDROM, 1993.

20.

Pintro

, Comitês de classificadores para o reconhecimento multibiométrico em dados biométricos revogáveis, Ph.D. thesis, Departamento de Informática e Matemática Aplicada, Natal, Universidade Federal do Rio Grande do Norte, 2013.

21.

Cover

and Hart

, Nearest neighbor pattern classification, IEEE Trans. Inf. Theor. 13(1) (September 2006), 21–27. doi: 10.1109/TIT.1967.1053964.

22.

Ayres

M.A.

Ayres

D.L.

and de Assis Santos dos Santos

, BioEstat: aplicações estatísticas nas áreas das ciências bio-médicas, Sociedade Civil Mamirauá: MCT: IOEPA, 2005.

23.

Wilcoxon

, Individual Comparisons by Ranking Methods, Biometrics Bulletin 1(6) (1945), 80–83. doi: 10.2307/3001968.

Increasing data accuracy in biometric authentication systems: An exploratory study using papilio algorithm on fuzzy schemes

Abstract

Keywords

Get full access to this article

References