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Conference Paper Protecting Secret Keys with Fuzzy Fingerprint Vault Based on a 3D Geometric Hash Table
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Authors
Sung Ju Lee, Dae Sung Moon, Seung Hwan Jung, Yong Wha Chung
Issue Date
2007-04
Citation
International Conference on Adaptive and Natural Computing Algorithms (ICANNGA) 2007 (LNCS 4432), v.4432, pp.432-439
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1007/978-3-540-71629-7_49
Project Code
07MK2400, Development of Privacy Enhanced Biometric System, Moon Ki Young
Abstract
Biometrics-based user authentication has several advantages over traditional password-based systems for standalone authentication applications such as home networks. This is also true for new authentication architectures known as crypto-biometric systems, where cryptography and biometrics are merged to achieve high security and user convenience at the same time. Recently, a cryptographic construct, called fuzzy vault, has been proposed for crypto-biometric systems. In this paper, we propose an approach to provide both the automatic alignment of fingerprint data and higher security by using a 3D geometric hash table. Based on the experimental results, we confirm that the proposed approach of using the 3D geometric hash table with the idea of the fuzzy vault can perform the fingerprint verification securely even with one thousand chaff data included. © Springer-Verlag Berlin Heidelberg 2007.
KSP Keywords
Biometric system, Fingerprint Verification, Fuzzy fingerprint vault, Fuzzy vault, Hash table, High security, Home Network, Password-based, User Authentication, automatic alignment, based system