面向异构身份联盟风险评估模型的区块链共识机制

doi:10.3969/j.issn.0255-8297.2022.04.011

Abstract

Abstract: Existing heterogeneous identity alliance risk assessment systems are generally centralized, with single point of failure, internal mischief and loss of control of user data. Therefore, a blockchain-based risk assessment model for heterogeneous identity alliances is proposed. This model uses attribute encryption to ensure the secure storage of data and user control rights, and combines the idea of network fragmentation and aggregation signature technology, to propose a two-level consensus mechanism called grouped and aggregate-signature Byzantine fault tolerance (GABFT), which first groups network nodes using a consistent Hashing algorithm, and uses practical Byzantine fault tolerance (PBFT) improved by aggregated signatures within and between groups to reach consensus, then improves the processing efficiency of the proposed model, reduces the communication overhead, and supports dynamic changes of nodes. Finally, an experiment shows that compared to PBFT, GABFT reduces the number of communications required for nodes to reach consensus from squared to linear and improves the throughput by a factor of 2~3.

Key words: blockchain, heterogeneous identity alliance, risk assessment, attribute-based encryption, practical Byzantine fault tolerance (PBFT)

CLC Number:

TP311

YANG Yanbo, WAN Wunan, ZHANG Shibin, ZHANG Jinquan, QIN Zhi. Blockchain Consensus Mechanism for Risk Assessment Model of Heterogeneous Identity Alliance[J]. Journal of Applied Sciences, 2022, 40(4): 681-694.

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Blockchain Consensus Mechanism for Risk Assessment Model of Heterogeneous Identity Alliance

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