Title
Using biometric key commitments to prevent unauthorized lending of cryptographic credentials
Abstract
We present a technique that uses privacy enhancing technologies and biometrics to prevent the unauthorized lending of credentials. Current credential schemes suffer the weakness that issued credentials can be transferred between users. Our technique ensures the biometric identity of the individual executing the Issue and Show protocols of an existing credential system in a manner analogous to the enrollment and verification steps in traditional biometric systems. During Issue we create Pedersen commitments on biometrically derived keys obtained from fuzzy extractors. This issue-time commitment is sealed into the issued credential. During Show a verification-time commitment is generated. Correspondence of keys is verified using a zero-knowledge proof of knowledge. The proposed approach preserves the security of the underlying credential system, protects the privacy of the biometric, and generalizes to multiple biometric modalities. We illustrate the usage of our technique by showing how it can be incorporated into digital credentials and anonymous credentials.
Year
DOI
Venue
2014
10.1109/PST.2014.6890926
Privacy, Security and Trust
Keywords
Field
DocType
cryptography,data privacy,Pedersen commitments,anonymous credentials,biometric identity,biometric key commitments,biometric modalities,credential schemes,credential system,cryptographic credentials,digital credentials,fuzzy extractors,issue protocol,issue-time commitment,privacy enhancing technologies,show protocol,anonymous credentials,biometrics,digital credentials,fuzzy extractors,non-transferability,privacy enhancing technologies
Modalities,Internet privacy,Cryptography,Computer science,Computer security,Proof of knowledge,Encryption,Privacy-enhancing technologies,Biometrics,Credential,Digital credential
Conference
ISSN
Citations 
PageRank 
1712-364X
1
0.35
References 
Authors
12
3
Name
Order
Citations
PageRank
David Bissessar110.35
Carlisle Adams232333.30
Dong Liu3207.71