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Cited by 406

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

On enabling secure applications through off-line biometric identification

Open access
Davida, G.I., Frankel, Y., Matt, B.J.·2002·Proceedings. 1998 IEEE Symposium on Security and Privacy (Cat. No.98CB36186)

Abstract

In developing secure applications and systems, designers must often incorporate secure user identification in the design specification. In this paper, we study secure off-line authenticated user identification schemes based on a biometric system that can measure a user's biometrics accurately (up to some Hamming distance). The presented schemes enhance identification and authorization in secure applications by binding a biometric template with authorization information on a token such as a magnetic strip. Also developed are schemes specifically designed to minimize the compromising of a user's private biometrics data, encapsulated in the authorization information, without requiring secure hardware tokens. We also study the feasibility of biometrics performing as an enabling technology for secure systems and applications design. We investigate a new technology which allows a user's biometrics to facilitate cryptographic mechanisms.

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Crossref · 10.1109/secpri.1998.674831

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Metadata

Authors
Davida, G. I., Frankel, Y., & Matt, B. J.
Venue
Proceedings. 1998 IEEE Symposium on Security and Privacy (Cat. No.98CB36186)
Published
2002-11-27
Pages
148-157
ISSN
1081-6011 (ISSN-L)
OpenAlex
W2127697997
Cited by
406
References
14
FWCI
14.78
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: On enabling secure applications through off-line biometric identification. https://app.cochat.ai/papers/10.1109/secpri.1998.674831
The paper
Davida, G. I., Frankel, Y., & Matt, B. J. (2002). On enabling secure applications through off-line biometric identification. Proceedings. 1998 IEEE Symposium on Security and Privacy (Cat. No.98CB36186). https://doi.org/10.1109/secpri.1998.674831

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.