Secure remote matching with privacy: Scrambled support vector vaulted verification (S2V3)

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.