TY - GEN
T1 - A Privacy-Preserving Auditable Approach Using Threshold Tag-Based Encryption in Consortium Blockchain
AU - Guo, Yunwei
AU - Tang, Haokun
AU - Tan, Aidi
AU - Xu, Lei
AU - Gai, Keke
AU - Jia, Xiongwei
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Auditable blockchain
KW - Consortium blockchain
KW - Privacy-preserving
KW - Threshold tag-based encryption
UR - http://www.scopus.com/inward/record.url?scp=85127072620&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-97774-0_24
DO - 10.1007/978-3-030-97774-0_24
M3 - Conference contribution
AN - SCOPUS:85127072620
SN - 9783030977733
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 265
EP - 275
BT - Smart Computing and Communication - 6th International Conference, SmartCom 2021, Proceedings
A2 - Qiu, Meikang
A2 - Gai, Keke
A2 - Qiu, Han
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th International Conference on Smart Computing and Communication, SmartCom 2021
Y2 - 29 December 2021 through 31 December 2021
ER -