Paper 2020/679
BETA: Biometric Enabled Threshold Authentication
Shashank Agrawal, Saikrishna Badrinarayanan, Payman Mohassel, Pratyay Mukherjee, and Sikhar Patranabis
Abstract
In the past decades, user authentication has been dominated by server-side password-based solutions that rely on "what users know". This approach is susceptible to breaches and phishing attacks, and poses usability challenges. As a result, the industry is gradually moving to biometric-based client-side solutions that do not store any secret information on servers. This shift necessitates the safe storage of biometric templates and private keys, which are used to generate tokens, on user devices.
We propose a new generic framework called Biometric Enabled Threshold Authentication (BETA) to protect sensitive client-side information like biometric templates and cryptographic keys. Towards this, we formally introduce the notion of Fuzzy Threshold Tokenizer (FTS) where an initiator can use a "close" biometric measurement to generate an authentication token if at least
Note: This version contains an updated UC security definition and associated discussions based on feedback from the anonymous reviewers at IACR PKC 2021.
Metadata
- Available format(s)
- Category
- Cryptographic protocols
- Publication info
- A major revision of an IACR publication in PKC 2021
- Keywords
- threshold cryptographybiometric matchingdigital signaturesmulti-party computationhomomorphic encryptioncosine similarity
- Contact author(s)
-
shashank agraval @ gmail com
bsaikrishna7393 @ gmail com
payman mohassel @ gmail com
pratyay85 @ gmail com
sikharpatranabis @ gmail com - History
- 2021-03-06: revised
- 2020-06-09: received
- See all versions
- Short URL
- https://ia.cr/2020/679
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2020/679, author = {Shashank Agrawal and Saikrishna Badrinarayanan and Payman Mohassel and Pratyay Mukherjee and Sikhar Patranabis}, title = {{BETA}: Biometric Enabled Threshold Authentication}, howpublished = {Cryptology {ePrint} Archive, Paper 2020/679}, year = {2020}, url = {https://eprint.iacr.org/2020/679} }