期刊
SOFT COMPUTING
卷 20, 期 12, 页码 4907-4918出版社
SPRINGER
DOI: 10.1007/s00500-015-1778-2
关键词
Threshold (t, n); Biometric encryption; Fuzzy information; High-dimension space projection quantization
资金
- Zhejiang Province Science and Technology Innovation Program [2013TD03]
- National Science Foundation of China [61272045, 61201301, 61472091]
- Guangzhou Zhujiang Science and Technology Future Fellow Fund [2012J2200094]
- Distinguished Young Scholars Fund of Department of Education, Guangdong Province [Yq2013126]
- Major Program of National Social Science Foundation of China [11ZD088]
Biometric identification has caused a multitude of problems in the networking environment, such as the storage of user's biometric template and the leakage of user's privacy, therefore, biometric encryption has been the focus of the recent studies which are based on Fuzzy Vault, Fuzzy Commitment, and dynamic key generation. However, due to fuzzy information inherent biological characteristics, essentially deterministic analysis techniques, Fuzzy Vault, and Fuzzy Commitment have been accused of stored biometric templates and short keys. Fuzzy Information Processing needs suitable technology, such as fuzzy logic, to obtain better results. In this paper, we propose a new fingerprint encryption scheme which utilizes the high-dimension space projection. Unlike the reliance on biometric templates in Fuzzy Vault-based scheme or encrypted templates in Fuzzy Commitment-based scheme, this new scheme, similar to the dynamic biometric key generation scheme, protects biometric key in a polynomial, and hence saves nothing on the biometric characteristics. Thus, it integrates the advantages of Fuzzy Vault, Fuzzy Commitment, and dynamic key generation into one scheme.
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