Reusable fuzzy extractor based on the learning-with-error assumption secure against quantum attacks
US10778423B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 15, 2018 |
| Grant date | Sep 15, 2020 |
| Priority date | — |
| Expiry date | Dec 7, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L9/3231
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Described is a system for biometric based security. The system converts biometric data into a cryptographic key using a reusable fuzzy extractor process. The reusable fuzzy extractor process comprises a generation process and a reconstruction process. The generation process takes as input a public parameter and a first biometric input and outputs a public helper string and a first random string. The reconstruction process takes as input a public helper string and a second biometric input and outputs a second random string. The reusable fuzzy extractor process is reusable such that multiple public helper strings do not reveal any information about the first biometric input and the first random string. Secured data is unlocked by applying the cryptographic key for biometric security of access to secured data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.