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Security Analysis on Privacy-Preserving Cloud Aided Biometric Identification Schemes

  • Shiran Pan
  • Shen Yan
  • Wen-Tao ZhuEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9723)

Abstract

Biometric identification (BI) is the task of searching a pre-established biometric database to find a matching record for an enquiring biometric trait sampled from an unknown individual of interest. This has recently been aided with cloud computing, which brings a lot of convenience but simultaneously arouses new privacy concerns. Two cloud aided BI schemes pursuing privacy preserving have recently been proposed by Wang et al. in ESORICS ’15. In this paper, we propose several elaborately designed attacks to reveal the security breaches in these two schemes. Theoretical analysis is given to validate our proposed attacks, which indicates that via such attacks the cloud server can accurately infer the outsourced database and the identification request.

Keywords

Biometric identification Cloud computing Security breaches Privacy preserving 

Notes

Acknowledgment

The authors would like to thank the anonymous reviewers for their valuable comments. This work was supported by the National Natural Science Foundation of China under Grant 61272479, the National 973 Program of China under Grant 2013CB338001, and the Strategic Priority Research Program of Chinese Academy of Sciences under Grant XDA06010702

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.State Key Laboratory of Information Security, Institute of Information EngineeringChinese Academy of SciencesBeijingChina
  2. 2.Data Assurance and Communication Security Research CenterChinese Academy of SciencesBeijingChina
  3. 3.University of Chinese Academy of SciencesBeijingChina

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