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2020 | OriginalPaper | Chapter

Security Requirements for Store-on-Client and Verify-on-Server Secure Biometric Authentication

Authors : Haruna Higo, Toshiyuki Isshiki, Masahiro Nara, Satoshi Obana, Toshihiko Okamura, Hiroto Tamiya

Published in: Emerging Technologies for Authorization and Authentication

Publisher: Springer International Publishing

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Abstract

The Fast IDentity Online Universal Authentication Framework (FIDO UAF) is an online two-step authentication framework designed to prevent biometric information breaches from servers. In FIDO UAF, biometric authentication is firstly executed inside a user’s device, and then online device authentication follows. While there is no chance of biometric information leakage from the servers, risks remain when users’ devices are compromised. In addition, it may be possible to impersonate the user by skipping the biometric authentication step.
To design more secure schemes, this paper defines Store-on-Client and Verify-on-Server Secure Biometric Authentication (SCVS-SBA). Store-on-client means that the biometric information is stored in the devices as required for FIDO UAF, while verify-on-server is different from FIDO UAF, which implies that the result of biometric authentication is determined by the server. We formalize security requirements for SCVS-SBA into three definitions. The definitions guarantee resistance to impersonation attacks and credential guessing attacks, which are standard security requirements for authentication schemes. We consider different types of attackers according to the knowledge on the internal information.
We propose a practical concrete scheme toward SCVS-SBA, where normalized cross-correlation is used as the similarity measure for the biometric features. Experimental results show that a single authentication process takes only tens of milliseconds, which means that it is fast enough for practical use.

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Metadata
Title
Security Requirements for Store-on-Client and Verify-on-Server Secure Biometric Authentication
Authors
Haruna Higo
Toshiyuki Isshiki
Masahiro Nara
Satoshi Obana
Toshihiko Okamura
Hiroto Tamiya
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-39749-4_6

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