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

Yunwei Guo, Haokun Tang, Aidi Tan, Lei Xu, Keke Gai*, Xiongwei Jia

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationSmart Computing and Communication - 6th International Conference, SmartCom 2021, Proceedings
EditorsMeikang Qiu, Keke Gai, Han Qiu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages265-275
Number of pages11
ISBN (Print)9783030977733
DOIs
Publication statusPublished - 2022
Event6th International Conference on Smart Computing and Communication, SmartCom 2021 - Virtual, Online
Duration: 29 Dec 202131 Dec 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13202 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Smart Computing and Communication, SmartCom 2021
CityVirtual, Online
Period29/12/2131/12/21

Keywords

  • Auditable blockchain
  • Consortium blockchain
  • Privacy-preserving
  • Threshold tag-based encryption

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Cite this

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 M. Qiu, K. Gai, & H. Qiu (Eds.), Smart Computing and Communication - 6th International Conference, SmartCom 2021, Proceedings (pp. 265-275). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13202 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-97774-0_24