Paper Info
Title
Secure remote matching with privacy: Scrambled support vector vaulted verification (S^2V^3)
Abstract
As biometric authentication systems become common in everyday use, researchers are beginning to address privacy issues in biometric recognition. With the growing use of mobile devices, it is important to develop approaches that support remote mobile verification. This paper outlines the need for a mobile/remote SVM-based authentication system that does not compromise the privacy of the subject being recognized. We discuss limitations of earlier privacy-preserving authentication systems and present necessary privacy and security requirements that make a system attractive from both the server's security point of view and from the client's privacy-centric point of view. We then present a novel protocol we call "Vaulted Verification" that allows a server to remotely authenticate a client's biometric in a privacy preserving way. We conclude with a small evaluation of performance, discussion of security implications, and ideas for future work.
Year
DOI
Venue
2012
10.1109/WACV.2012.6163018
workshop on applications of computer vision
Keywords
DocType
Citations 
secure remote matching,remote mobile verification,biometric recognition,privacy issue,Scrambled support vector,remote SVM-based authentication system,security implication,mobile device,biometric authentication system,vaulted verification,present necessary privacy,security point,privacy-preserving authentication system
Conference
8
PageRank 
References 
Authors
0.52
14
2
Name
Order
Citations
PageRank
Michael J. Wilber1867.37
Terrance E. Boult21901223.30