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Preserving Privacy in Private Blockchain Networks

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 12991))

Abstract

In contrast to public blockchains, private and permissioned blockchains enable specific organizations to come together and maintain a distributed and decentralized ledger to which only those specific participants have access. These private blockchains are favoured in scenarios where there is a particular emphasis on data privacy, such as in the exchange of electronic health records (EHRs) for example. However, managing internal data privacy within private blockchain platforms, i.e. which participants can see which data, is not a trivial task. Existing solutions such as private data collections, attribute based encryption and multi-party computation all have their limitations. In this paper, we propose an alternative approach based on asymmetric cryptography and we show how this can alleviate many of the current shortcomings.

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References

  1. Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system (2008). https://bitcoin.org/bitcoin.pdf

  2. Ethereum. https://ethereum.org/en/

  3. Hyperledger Fabric. https://www.hyperledger.org/use/fabric

  4. R3 Corda. https://www.r3.com/corda-platform/

  5. Guo, H., Li, W., Meamari, E., Shen, C.-C., Nejad, M.: The potential for blockchain to transform electronic health records. Harvard Bus. Rev. 3, 2–5 (2017)

    Google Scholar 

  6. Guo, H., Li, W., Nejad, M., Shen, C.-C.: Access control for electronic health records with hybrid blockchain-edge architecture. In: 2019 IEEE International Conference on Blockchain, Atlanta, USA (2019)

    Google Scholar 

  7. Halamka, J.D., Ekblaw, A.: Attribute-based multi-signature and encryption for EHR management: a blockchain-based Solution. In: 2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), pp. 1–5 (2020)

    Google Scholar 

  8. Hyperledger Fabric Private Data. https://hyperledger-fabric.readthedocs.io/en/release-2.2/private-data/private-data.html

  9. Wang, X., Malozemoff, A.J., Katz, J.: EMP-toolkit: efficient multiparty computation toolkit (2016). https://github.com/emp-toolkit

  10. Xu, H., He, Q., Li, X., Jiang, Bi., Qin, K.: BDSS-FA: A blockchain-based data security sharing platform with fine-grained access control. In: 2020 IEEE Access (ANTS), pp. 87552–87561 (2020)

    Google Scholar 

  11. Benhamouda, F., Halevi, S., Halevi, T.: Supporting private data on hyperledger fabric with secure multi party computation. IBM J. 63(2/3), 3:1-3:8 (2019)

    Article  Google Scholar 

  12. Rahulamathavan, Y., Phan, R.C.-W., Rajarajan, M., Misra, S., Kondoz, A.: Privacy-preserving blockchain based IoT ecosystem using attribute-based encryption. In: 2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1–6 (2017)

    Google Scholar 

  13. Diffie, W., Hellman, M.: New directions in cryptography. IEEE Trans. Inf. Theory 22, 644–654 (1976). https://doi.org/10.1109/TIT.1976.1055638

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgement

This work was supported by Enterprise Ireland and the Department of Enterprise, Trade and Employment through the Disruptive Technologies Innovation Fund (project number DT20180009).

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Correspondence to Prabhakaran Ariappampalayam Krishnamoorthi .

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Ariappampalayam Krishnamoorthi, P., Shahid, S., Boydell, O. (2022). Preserving Privacy in Private Blockchain Networks. In: Lee, K., Zhang, LJ. (eds) Blockchain – ICBC 2021. ICBC 2021. Lecture Notes in Computer Science(), vol 12991. Springer, Cham. https://doi.org/10.1007/978-3-030-96527-3_8

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  • DOI: https://doi.org/10.1007/978-3-030-96527-3_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96526-6

  • Online ISBN: 978-3-030-96527-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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