상세정보
학술대회
Protecting Secret Keys with Fuzzy Fingerprint Vault Based on a 3D Geometric Hash Table
- 저자
- 이성주, 문대성, 정승환, 정용화
- 발행일
- 200704
- 출처
- International Conference on Adaptive and Natural Computing Algorithms (ICANNGA) 2007 (LNCS 4432), v.4432, pp.432-439
- 협약과제
- 07MK2400, 프라이버시 보호형 바이오인식 시스템 개발, 문기영
- 초록
- 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 제안 키워드
- Biometric system, Fingerprint Verification, Fuzzy fingerprint vault, Fuzzy vault, Hash table, High security, Home Network, Password-based, User Authentication, automatic alignment, based system