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Biometric Identification Systems with Noisy Enrollment for Gaussian Sources and Channels †
In the present paper, we investigate the fundamental trade-off of identification, secret-key, storage, and privacy-leakage rates in biometric identification systems for remote or hidden Gaussian sources. We use a technique of converting the system to one where the data flow is in one-way direction t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392179/ https://www.ncbi.nlm.nih.gov/pubmed/34441189 http://dx.doi.org/10.3390/e23081049 |