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Journal Article
Construction of a New Biometric-Based Key Derivation Function and Its Application
- Authors
- Minhye Seo, Jong Hwan Park, Youngsam Kim, Sangrae Cho, Dong Hoon Lee, Jung Yeon Hwang
- Issue Date
- 2018-12
- Citation
- Security and Communication Networks, v.2018, pp.1-15
- ISSN
- 1939-0114
- Publisher
- Wiley-Blackwell
- Language
- English
- Type
- Journal Article
- Abstract
- 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 Keywords
- Biometric cryptosystem, Computationally Efficient, Fuzzy extractor, Helper data, Key Derivation Function, Security model, Trusted channel, User-specific, authentication protocol, biometric data, cryptographic key
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
(CC BY)
