Name
Abstract | ||
|---|---|---|
Fuzzy commitment is an efficient template protection algorithm that can improve security and safeguard privacy of biometrics. Existing theoretical security analysis has proved that although privacy leakage is unavoidable, perfect security from information-theoretical points of view is possible when bits extracted from biometric features are uniformly and independently distributed. Unfortunately, this strict condition is difficult to fulfill in practice. In many applications, dependency of binary features is ignored and security is thus suspected to be highly overestimated. This paper gives a comprehensive analysis on security and privacy of fuzzy commitment regarding empirical evaluation. The criteria representing requirements in practical applications are investigated and measured quantitatively in an existing protection system for 3D face recognition. The evaluation results show that a very significant reduction of security and enlargement of privacy leakage occur due to the dependency of biometric features. This work shows that in practice, one has to explicitly measure the security and privacy instead of trusting results under non-realistic assumptions. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IJCB.2011.6117543 | Zeitschrift für Angewandte Mathematik und Physik |
Keywords | Field | DocType |
biometric feature,efficient template protection algorithm,quantifying privacy,evaluation result,biometric fuzzy commitment,comprehensive analysis,existing protection system,perfect security,empirical evaluation,theoretical security analysis,privacy leakage,fuzzy commitment,data privacy,face recognition,fuzzy set theory | Facial recognition system,Protection system,Economics,Computer security,Fuzzy logic,Fuzzy set,Safeguard,Security analysis,Biometrics,Information privacy | Conference |
Citations | PageRank | References |
12 | 0.57 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuebing Zhou | 1 | 150 | 13.14 |
| Arjan Kuijper | 2 | 1063 | 133.22 |
| Raymond Veldhuis | 3 | 73 | 7.00 |
| Christoph Busch | 4 | 788 | 80.29 |