• 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