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Symmetric-Key Based Proofs of Retrievability Supporting Public Verification

  • Chaowen Guan
  • Kui Ren
  • Fangguo Zhang
  • Florian Kerschbaum
  • Jia Yu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9326)

Abstract

Proofs-of-Retrievability enables a client to store his data on a cloud server so that he executes an efficient auditing protocol to check that the server possesses all of his data in the future. During an audit, the server must maintain full knowledge of the client’s data to pass, even though only a few blocks of the data need to be accessed. Since the first work by Juels and Kaliski, many PoR schemes have been proposed and some of them can support dynamic updates. However, all the existing works that achieve public verifiability are built upon traditional public-key cryptosystems which imposes a relatively high computational burden on low-power clients (e.g., mobile devices).

In this work we explore indistinguishability obfuscation for building a Proof-of-Retrievability scheme that provides public verification while the encryption is based on symmetric key primitives. The resulting scheme offers light-weight storing and proving at the expense of longer verification. This could be useful in apations where outsourcing files is usually done by low-power client and verifications can be done by well equipped machines (e.g., a third party server). We also show that the proposed scheme can support dynamic updates. At last, for better assessing our proposed scheme, we give a performance analysis of our scheme and a comparison with several other existing schemes which demonstrates that our scheme achieves better performance on the data owner side and the server side.

Keywords

Cloud storage Proofs of retrievability Indistinguishability obfuscation 

Notes

Acknowledgments

This work is supported in part by US National Science Foundation under grant CNS-1262277 and the National Natural Science Foundation of China (Nos. 61379154 and U1135001).

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© Springer International Publishing Switzerland 2015

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Authors and Affiliations

  • Chaowen Guan
    • 1
  • Kui Ren
    • 1
  • Fangguo Zhang
    • 1
    • 2
    • 3
  • Florian Kerschbaum
    • 4
  • Jia Yu
    • 1
    • 5
  1. 1.Department of Computer Science and EngineeringUniversity at BuffaloBuffaloUSA
  2. 2.School of Information Science and TechnologySun Yat-sen UniversityGuangzhouChina
  3. 3.Guangdong Key Laboratory of Information Security TechnologyGuangzhouChina
  4. 4.SAPKarlsruheGermany
  5. 5.College of Information EngineeringQingdao UniversityQingdaoChina

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