A Framework for UC Secure Privacy Preserving Biometric Authentication Using Efficient Functional Encryption-Reference-Cited by-同舟云学术

A Framework for UC Secure Privacy Preserving Biometric Authentication Using Efficient Functional Encryption

Published:2023 Issue: Volume: Page:167-196
ISSN:0302-9743
Container-title:Applied Cryptography and Network Security
language:
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Author:

Ernst Johannes^ORCID,Mitrokotsa Aikaterini

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-33491-7_7

Reference25 articles.

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3. Bauspieß, P., et al.: Post-Quantum secure two-party computation for iris biometric template protection. In: IEEE International Workshop on Information Forensics and Security (WIFS), pp. 1–6. IEEE (2020)

4. Bringer, J., Chabanne, H., Patey, A.: Privacy-preserving biometric identification using secure multiparty computation: an overview and recent trends. IEEE Sig. Process. Mag. 30(2), 42–52 (2013)

5. Cachet, C., et al.: Proximity searchable encryption for biometrics. Cryptology ePrint Archive, Report 2020/1174 (2020). https://eprint.iacr.org/2020/1174

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