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Title: ZkRep: a privacy-preserving scheme for reputation-based blockchain system
Authors: Huang, Chenyu
Zhao, Yongjun
Chen, Huangxun
Wang, Xu
Zhang, Qian
Chen, Yanjiao
Wang, Huaxiong
Lam, Kwok-Yan
Keywords: Engineering::Computer science and engineering
Issue Date: 2021
Source: Huang, C., Zhao, Y., Chen, H., Wang, X., Zhang, Q., Chen, Y., Wang, H. & Lam, K. (2021). ZkRep: a privacy-preserving scheme for reputation-based blockchain system. IEEE Internet of Things Journal, 9(6), 4330-4342.
Journal: IEEE Internet of Things Journal 
Abstract: Reputation/trust-based blockchain systems have attracted considerable research interests for better integrating Internet of Things with blockchain in terms of throughput, scalability, energy efficiency, and incentive aspects. However, most existing works only consider static adversaries. Hence, they are vulnerable to slowly adaptive attackers, who can target validators with high reputation value to severely degrade the system performance. Therefore, we introduce zkRep, a privacy-preserving scheme tailored for reputation-based blockchains. Our basic idea is to hide both the identity and reputation of the validators by periodically changing the identity and reputation commitments (i.e., aliases), which makes it much more difficult for slowly adaptive attackers to identify validators with high reputation value. To realize this idea, we utilize privacy-preserving Pedersen-commitment-based reputation updating and leader election schemes that operate on concealed reputations within an epoch. We also introduce a privacy-preserving identity update protocol that changes the identity and time-window-based cumulative reputation commitments during each epoch transition. We have implemented and evaluated zkRep on the Amazon Web Service. The experimental results and analysis show that zkRep achieves great privacy-preserving features against slowly adaptive attacks with little overhead.
ISSN: 2327-4662
DOI: 10.1109/JIOT.2021.3105273
Rights: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at:
Fulltext Permission: open
Fulltext Availability: With Fulltext
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