Preventing the Decodability Attack Based Cross-Matching in a Fuzzy Commitment Scheme

E.J.C. Kelkboom; Jeroen Breebaart; Tom A.M. Kevenaar; I.R. Buhan; Raymond N.J. Veldhuis

doi:10.1109/TIFS.2010.2091637

Preventing the Decodability Attack Based Cross-Matching in a Fuzzy Commitment Scheme

E.J.C. Kelkboom, Jeroen Breebaart, Tom A.M. Kevenaar, I.R. Buhan, Raymond N.J. Veldhuis

Databases (Former)

Research output: Contribution to journal › Article › Academic › peer-review

75 Citations (Scopus)

Abstract

Template protection techniques are used within biometric systems in order to safeguard the privacy of the system's subjects. This protection also includes unlinkability, i.e., preventing cross-matching between two or more reference templates from the same subject across different applications. In the literature, the template protection techniques based on fuzzy commitment, also known as the code-offset construction, have recently been investigated. Recent work presented the decodability attack vulnerability facilitating cross-matching based on the protected templates and its theoretical analysis. First, we extend the theoretical analysis and include the comparison between the system and cross-matching performance. We validate the presented analysis using real biometric data from the MCYT fingerprint database. Second, we show that applying a random bit-permutation process secures the fuzzy commitment scheme from cross-matching based on the decodability attack.

Original language	Undefined
Pages (from-to)	107-121
Number of pages	15
Journal	IEEE transactions on information forensics and security
Volume	6
Issue number	1
DOIs	https://doi.org/10.1109/TIFS.2010.2091637
Publication status	Published - Mar 2011

Keywords

SCS-Safety
Data Security
IR-76453
METIS-279145
Biometrics
secure biometric data
data privacy
Template Protection
EWI-19843

Access to Document

10.1109/TIFS.2010.2091637

http://eprints.eemcs.utwente.nl/secure2/19843/01/Kelkboom11_Preventing_the_Decodability_Attack_Based_Cross-Matching_in_a_Fuzzy_Commitment_Scheme.pdf

Cite this

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title = "Preventing the Decodability Attack Based Cross-Matching in a Fuzzy Commitment Scheme",

abstract = "Template protection techniques are used within biometric systems in order to safeguard the privacy of the system's subjects. This protection also includes unlinkability, i.e., preventing cross-matching between two or more reference templates from the same subject across different applications. In the literature, the template protection techniques based on fuzzy commitment, also known as the code-offset construction, have recently been investigated. Recent work presented the decodability attack vulnerability facilitating cross-matching based on the protected templates and its theoretical analysis. First, we extend the theoretical analysis and include the comparison between the system and cross-matching performance. We validate the presented analysis using real biometric data from the MCYT fingerprint database. Second, we show that applying a random bit-permutation process secures the fuzzy commitment scheme from cross-matching based on the decodability attack.",

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AU - Buhan, I.R.

AU - Veldhuis, Raymond N.J.

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