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Privacy-Preserving Identification Systems With Noisy Enrollment

  • Published:2021 Issue: Volume:16 Page:3510-3523
  • ISSN:1556-6013
  • Container-title:IEEE Transactions on Information Forensics and Security
  • language:
  • Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Zhou LinghuiORCID,Vu Minh ThanhORCID,Oechtering Tobias J.ORCID,Skoglund MikaelORCID

Funder

Swedish Research Council

Digital Futures Research Center

Strategic Research Agenda Program, Information and Communication Technology-The Next Generation (SRA ICT-TNG) through the Swedish Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BIAS: A novel secure and efficient biometric-based anonymous authentication scheme;Computer Networks;2024-12

2. Bias: A Novel Secure and Efficient Biometrics-Based Identity Authentication Scheme;2024

3. Key Agreement Using Physical Identifiers for Degraded and Less Noisy Authentication Channels;IEEE Transactions on Information Forensics and Security;2023

4. Proof-of-Concept of Polar Codes for Biometric Identification and Authentication;2022 IEEE International Workshop on Information Forensics and Security (WIFS);2022-12-12

5. Uncertainty in Biometric Identification and Authentication Systems with Strong Secrecy;2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton);2022-09-27
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