Zhou, Xuebing ; Kuijper, Arjan ; Veldhuis, Raymond ; Busch, Christoph (2011)
Quantifying Privacy and Security of Biometric Fuzzy Commitment.
International Joint Conference on Biometrics 2011.
doi: 10.1109/IJCB.2011.6117543
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2011 |
| Autor(en): | Zhou, Xuebing ; Kuijper, Arjan ; Veldhuis, Raymond ; Busch, Christoph |
| Art des Eintrags: | Bibliographie |
| Titel: | Quantifying Privacy and Security of Biometric Fuzzy Commitment |
| Sprache: | Englisch |
| Publikationsjahr: | 2011 |
| Verlag: | IEEE Computer Society Conference Publishing Services (CPS), Los Alamitos, Calif. |
| Veranstaltungstitel: | International Joint Conference on Biometrics 2011 |
| DOI: | 10.1109/IJCB.2011.6117543 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Business Field: Digital society, Research Area: Generalized digital documents, Biometric template protection, Biometric encryption, Biometrics, Biometric identification systems |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 12 Nov 2018 11:16 |
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