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A Privacy-Preserving Auditable Approach Using Threshold Tag-Based Encryption in Consortium Blockchain

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Smart Computing and Communication (SmartCom 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13202))

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Abstract

The rising attention of deploying consortium blockchain in the industry has facilitated a wide scope of enterprise-level applications. In consortium blockchain, each participant’s identity needs to be verified before it joins the blockchain network, which implies both identity leakage and the linkability between entites are targets for privacy attackers. In this paper, we propose a novel approach to hide both identity and linking relations between participants. An auditor role is developed in our solution to trace down suspicious transactions to identify malicious participants in a decentralized manner. Security analysis and experiment evaluations are given for evidencing the effectiveness of our approach in this work.

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Notes

  1. 1.

    https://github.com/hyperledger/fabric.

  2. 2.

    https://cs.opensource.google/go/x/crypto.

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Acknowledgements

This work is supported by National Natural Science Foundation of China 61871037, China Unicom Innovation Ecological Cooperation Plan, Natural Science Foundation of Beijing (M21035), and is partially supported by the Defense Industrial Technology Development Program (Grant No. JCKY2020206C058).

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Correspondence to Keke Gai .

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Guo, Y., Tang, H., Tan, A., Xu, L., Gai, K., Jia, X. (2022). A Privacy-Preserving Auditable Approach Using Threshold Tag-Based Encryption in Consortium Blockchain. In: Qiu, M., Gai, K., Qiu, H. (eds) Smart Computing and Communication. SmartCom 2021. Lecture Notes in Computer Science, vol 13202. Springer, Cham. https://doi.org/10.1007/978-3-030-97774-0_24

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  • DOI: https://doi.org/10.1007/978-3-030-97774-0_24

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  • Print ISBN: 978-3-030-97773-3

  • Online ISBN: 978-3-030-97774-0

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