Paper Info
Title
Efficient and secure template blinding for biometric authentication.
Abstract
Fingerprints as biometric authenticators are rapidly increasing in popularity, with fingerprint scanners available on many modern smartphones and laptops. Because these authenticators are non-revocable, special care must be taken to prevent leakage of the representative feature information of a user's fingerprint. While secure multiparty computation protocols have been designed to maintain fingerprint privacy during authentication, they do not protect the data stored on the authentication server. In this work, we develop a technique for blinding the stored biometric template such that the authentication server never observes biometric information in the clear, and cannot accidentally leak this information in the event of a breach. We show how our blinding technique can be combined with the privacy-preserving GSHADE protocol to privately compare biometric feature vectors using a variety of distance metrics with negligible overhead in computation time. We then construct a complete privacy-preserving remote fingerprint authentication system based on the Euclidean Distance metric, and show that a user can authenticate using privacy-preserving techniques in as little as 1.5 seconds. This work provides a template for designing low-cost blinding techniques for biometric authentication systems, and shows a practical use-case for secure multiparty computation protocols in remote authentication systems.
Year
Venue
Field
2016
IEEE Conference on Communications and Network Security
Secure multi-party computation,Authentication,Computer security,Computer science,Authentication server,Fingerprint recognition,Computer network,Data Authentication Algorithm,Fingerprint,Authentication protocol,Biometrics
DocType
ISSN
Citations 
Conference
2474-025X
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Siddhant Deshmukh100.34
Henry Carter226312.92
Grant Hernandez3335.41
Patrick Traynor4117187.80
Kevin Butler567549.73