• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A Simple Fingerprint Fuzzy Vault for FIDO

Vol. 10, No. 11, November 29, 2016
10.3837/tiis.2016.11.026, Download Paper (Free):

Abstract

Fast IDentity Online(FIDO) supports biometric authentications in an online environment without transmitting biometric templates over the network. For a given FIDO client, the "Fuzzy Vault" securely stores biometric templates, houses additional biometric templates, and unlocks private keys via biometrics. The Fuzzy Vault has been extensively researched and some vulnerabilities have been discovered, such as brute force, correlation, and key inversions attacks. In this paper, we propose a simple fingerprint Fuzzy Vault for FIDO clients. By using the FIDO feature, a simple minutiae alignment, and point-to-point matching, our Fuzzy Vault provides a secure algorithm to combat a variety of attacks, such as brute force, correlation, and key inversions. Using a case study, we verified our Fuzzy Vault by using a publicly available fingerprint database. The results of our experiments show that the Genuine Acceptance Rate and the False Acceptance Rate range from 48.89% to 80% and from 0.02% to 0%, respectively. In addition, our Fuzzy Vault, compared to existing similar technologies, needed fewer attempts.


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Cite this article

[IEEE Style]
D. Cho, "A Simple Fingerprint Fuzzy Vault for FIDO," KSII Transactions on Internet and Information Systems, vol. 10, no. 11, pp. 5674-5128, 2016. DOI: 10.3837/tiis.2016.11.026.

[ACM Style]
Dongil Cho. 2016. A Simple Fingerprint Fuzzy Vault for FIDO. KSII Transactions on Internet and Information Systems, 10, 11, (2016), 5674-5128. DOI: 10.3837/tiis.2016.11.026.

[BibTeX Style]
@article{tiis:21290, title="A Simple Fingerprint Fuzzy Vault for FIDO", author="Dongil Cho and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2016.11.026}, volume={10}, number={11}, year="2016", month={November}, pages={5674-5128}}