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학술지 Construction of a New Biometric-Based Key Derivation Function and Its Application
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저자
서민혜, 박종환, 김영삼, 조상래, 이동훈, 황정연
발행일
201812
출처
Security and Communication Networks, v.2018, pp.1-15
ISSN
1939-0114
출판사
Wiley-Blackwell
DOI
https://dx.doi.org/10.1155/2018/6107912
협약과제
18HH3500, 비대면 본인확인을 위한 바이오 공개키 기반구조 기술 개발, 조상래
초록
Biometric data is user-identifiable and therefore methods to use biometrics for authentication have been widely researched. Biometric cryptosystems allow for a user to derive a cryptographic key from noisy biometric data and perform a cryptographic task for authentication or encryption. The fuzzy extractor is known as a prominent biometric cryptosystem. However, the fuzzy extractor has a drawback in that a user is required to store user-specific helper data or receive it online from the server with additional trusted channel, to derive a correct key. In this paper, we present a new biometric-based key derivation function (BB-KDF) to address the issues. In our BB-KDF, users are able to derive cryptographic keys solely from their own biometric data: users do not need any other user-specific helper information. We introduce a security model for the BB-KDF. We then construct the BB-KDF and prove its security in our security model. We then propose an authentication protocol based on the BB-KDF. Finally, we give experimental results to analyze the performance of the BB-KDF. We show that our proposed BB-KDF is computationally efficient and can be deployed on many different kinds of devices.
KSP 제안 키워드
Biometric cryptosystem, Computationally Efficient, Fuzzy extractor, Helper data, Key Derivation Function, Security model, Trusted channel, User-specific, authentication protocol, biometric data, cryptographic key