DocumentCode
183182
Title
Optional multi-biometric cryptosystem based on fuzzy extractor
Author
Chi Chen ; Chaogang Wang ; Tengfei Yang ; Dongdai Lin ; Song Wang ; Jiankun Hu
Author_Institution
State Key Lab. of Inf. Security, Inst. of Inf. Eng., Beijing, China
fYear
2014
fDate
19-21 Aug. 2014
Firstpage
989
Lastpage
994
Abstract
Following the wide use of smart devices, biometric cryptosystem is used to protect users´ privacy data. However, biometric cryptosystem is rarely used in the scenario of mobile cloud, because the biometric sensors are different on various devices. In this paper, an optional multi-biometric cryptosystem based on fuzzy extractor and secret share technology is proposed. Each of the enrolled biometric modality generates a feature vector, and then the feature vector is put into a fuzzy extractor to get a stable codeword, namely a bit-string. All the codewords are used to bind a random key based on a secret share method, and the key can be used to encrypt users´ privacy data. During the verification phase, part of the enrolled biometric modalities are enough to recover the random key. Therefore, the proposed scheme can provide a user the same biometric key on different devices. In addition, experiment on a virtual multi-biometric database shows that the novel concept of optional multi-biometric cryptosystem is better than the corresponding uni-biometric cryptosystem both in matching accuracy and key entropy.
Keywords
biometrics (access control); cloud computing; cryptography; entropy; fuzzy set theory; mobile computing; vectors; bit-string; codewords; feature vector; fuzzy extractor; key entropy; mobile cloud; optional multibiometric cryptosystem; smart devices; users privacy data; Accuracy; Cryptography; Databases; Feature extraction; Fingerprint recognition; Iris recognition; cryptosystem; fuzzy extractor; key generation; mobile cloud; multi-biometric; secret share;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4799-5147-5
Type
conf
DOI
10.1109/FSKD.2014.6980974
Filename
6980974
Link To Document