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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
- Publisher
- Springer
- Language
- English
- Type
- Conference Paper
- 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