A New Fuzzy Vault based Biometric System robust to Brute-Force Attack

Authors

  • Alfonso Francisco De Abiega-L'Eglisse Instituto Politécnico Nacional
  • Mario Rosas Otero Universidad Autónoma de México
  • Vladimir Azpeitia Hernández Instituto Politécnico Nacional
  • Gina Gallegos-Garcia Instituto Politécnico Nacional
  • Mariko Nakano-Miyatake Instituto Politécnico Nacional

DOI:

https://doi.org/10.13053/cys-26-3-4184

Keywords:

Authentication, fuzzy vault, biometric system, confidentiality, cryptography, encryption

Abstract

Fuzzy vault based biometric systems use fuzzy vaults during the coding that occurs within the enrollment stage inside a biometric system. In that stage the biometric system creates a vault from the biometric data, user’s key and chaff points. In the verification stage, a new biometric data is introduced and user’s key can be recovered through the use of the Lagrange polynomial interpolation method. As a consequence, in this kind of systems brute force attack would be successful because fuzzy vaults are finite. Most of the related works focus on designing secure fuzzy vault systems through the use of a password or using hybrid systems. This leads to security falling on the same user or increasing the number of security elements such as chaff points, the degree of the polynomial, or multiple biometric samples. This paper proposes a new system that considers cryptography to achieve a fuzzy vault biometric system robust against brute-force attacks. It is important to say that our system does not need a higher number of chaff points or even a higher polynomial degree. Obtained results show that this new fuzzy vault biometric system not only would be secure for current times but also would be for the future time.

Author Biographies

Alfonso Francisco De Abiega-L'Eglisse, Instituto Politécnico Nacional

PhD student at ESIME-IPN

Mario Rosas Otero, Universidad Autónoma de México

Bachelos student at FEZ Cuautitlán

Gina Gallegos-Garcia, Instituto Politécnico Nacional

PhD at CIC-IPN

Mariko Nakano-Miyatake, Instituto Politécnico Nacional

PhD at ESIME-IPN

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Published

2022-08-28

Issue

Section

Articles