research-article

VSSB-Raft: A Secure and Efficient Zero Trust Consensus Algorithm for Blockchain

Authors:

Chi Zhang, Bei GongAuthors Info & Claims

ACM Transactions on Sensor Networks, Volume 20, Issue 2

Article No.: 34, Pages 1 - 22

https://doi.org/10.1145/3611308

Published: 09 January 2024 Publication History

Abstract

To solve the problems of vote forgery and malicious election of candidate nodes in the Raft consensus algorithm, we combine zero trust with the Raft consensus algorithm and propose a secure and efficient consensus algorithm -Verifiable Secret Sharing Byzantine Fault Tolerance Raft Consensus Algorithm (VSSB-Raft). The VSSB-Raft consensus algorithm realizes zero trust through the supervisor node and secret sharing algorithm without the invisible trust between nodes required by the algorithm. Meanwhile, the VSSB-Raft consensus algorithm uses the SM2 signature algorithm to realize the characteristics of zero trust requiring authentication before data use. In addition, by introducing the NDN network, we redesign the communication between nodes and guarantee the communication quality among nodes. The VSSB-Raft consensus algorithm proposed in this paper can make the algorithm Byzantine fault tolerant by setting a threshold for secret sharing while maintaining the algorithm’s complexity to be O(n). Experiments show that the VSSB-Raft consensus algorithm is secure and efficient with high throughput and low consensus latency.

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Cited By

Yang STan PFu H(2024)Improved Raft consensus algorithm based on NSGA-II and K-Means++2024 10th International Symposium on System Security, Safety, and Reliability (ISSSR)10.1109/ISSSR61934.2024.00055(383-390)Online publication date: 16-Mar-2024
https://doi.org/10.1109/ISSSR61934.2024.00055
Hu JFenYan Wu Z(2024)BGRAFT: Grouped Anti-Byzantine RAFT Consensus Algorithm Based on RSA Encryption Algorithm2024 International Conference on Artificial Intelligence and Digital Technology (ICAIDT)10.1109/ICAIDT62617.2024.00067(279-283)Online publication date: 7-Jun-2024
https://doi.org/10.1109/ICAIDT62617.2024.00067
Bai FLi FShen TZeng KZhang XZhang C(2024)RaBFT: an improved Byzantine fault tolerance consensus algorithm based on raftThe Journal of Supercomputing10.1007/s11227-024-06284-680:14(21533-21560)Online publication date: 12-Jun-2024
https://doi.org/10.1007/s11227-024-06284-6

Index Terms

VSSB-Raft: A Secure and Efficient Zero Trust Consensus Algorithm for Blockchain
1. Security and privacy
  1. Network security
    1. Security protocols

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Published In

cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 20, Issue 2

March 2024

572 pages

EISSN:1550-4867

DOI:10.1145/3618080

Editor:
Wen Hu
University of New South Wales, Australia

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Journal Family

ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 09 January 2024

Online AM: 08 August 2023

Accepted: 25 July 2023

Revised: 06 March 2023

Received: 31 August 2022

Published in TOSN Volume 20, Issue 2

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Major Scientific and Technological Projects in Yunnan Province
Yunnan Key Laboratory of Blockchain Application Technology
Scientific Research Fund Project of Yunnan Provincial Department of Education
National Natural Science Foundation of China
Yunnan Reserve Talents of Young and Middle-Aged Academic and Technical Leaders
Yunnan Young Top Talents of Ten thousand Plan

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Cited By

Yang STan PFu H(2024)Improved Raft consensus algorithm based on NSGA-II and K-Means++2024 10th International Symposium on System Security, Safety, and Reliability (ISSSR)10.1109/ISSSR61934.2024.00055(383-390)Online publication date: 16-Mar-2024
https://doi.org/10.1109/ISSSR61934.2024.00055
Hu JFenYan Wu Z(2024)BGRAFT: Grouped Anti-Byzantine RAFT Consensus Algorithm Based on RSA Encryption Algorithm2024 International Conference on Artificial Intelligence and Digital Technology (ICAIDT)10.1109/ICAIDT62617.2024.00067(279-283)Online publication date: 7-Jun-2024
https://doi.org/10.1109/ICAIDT62617.2024.00067
Bai FLi FShen TZeng KZhang XZhang C(2024)RaBFT: an improved Byzantine fault tolerance consensus algorithm based on raftThe Journal of Supercomputing10.1007/s11227-024-06284-680:14(21533-21560)Online publication date: 12-Jun-2024
https://doi.org/10.1007/s11227-024-06284-6

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