Optimization of hyperledger fabric consensus mechanism based on node behaviour

Jian Wang

doi:10.1117/12.3012561

21 December 2023 Optimization of hyperledger fabric consensus mechanism based on node behaviour

Jian Wang

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 1297014 (2023) https://doi.org/10.1117/12.3012561
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

In response to the problem of security risks in the endorsement service phase of the consortium blockchain Hyperledger Fabric, the paper proposes an optimization scheme for the consensus mechanism based on the behaviour of endorsingnodes. By adding a behaviour monitoring module to the consortium blockchain architecture, the scheme records andanalyses the behaviour of each endorsing node in each transaction. In the monitoring module, a node capabilityvalueattribute is added to each node to reflect its operation status, and the normal operation of the endorsing node is judgedaccording to the capability value. The public key of the node and the hash value of the read-write set in the endorsement result are selected as the output information and passed to the monitoring module, so that the external module canobtainthe node behaviour information while ensuring that the business data on the blockchain is not leaked. Nodes withpoorendorsement performance will eventually be identified as malicious nodes due to their low capability value andbedeprived of endorsement rights. The experimental results show that this solution can timely and accurately detect andclean up the malicious nodes in the system that prevent transactions from reaching consensus, and ensure the normal execution of subsequent transactions.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jian Wang "Optimization of hyperledger fabric consensus mechanism based on node behaviour", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 1297014 (21 December 2023); https://doi.org/10.1117/12.3012561

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