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Author:

Tian, Siben (Tian, Siben.) | Bai, Fenhua (Bai, Fenhua.) | Shen, Tao (Shen, Tao.) | Zhang, Chi (Zhang, Chi.) | Gong, Bei (Gong, Bei.) (Scholars:公备)

Indexed by:

EI Scopus SCIE

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.

Keyword:

Blockchain secret sharing Byzantine fault tolerance zero trust consensus algorithm

Author Community:

  • [ 1 ] [Tian, Siben]Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming, Yunnan, Peoples R China
  • [ 2 ] [Bai, Fenhua]Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming, Yunnan, Peoples R China
  • [ 3 ] [Shen, Tao]Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming, Yunnan, Peoples R China
  • [ 4 ] [Zhang, Chi]Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming, Yunnan, Peoples R China
  • [ 5 ] [Tian, Siben]Yunnan Key Lab Comp Technol Applicat, Kunming, Yunnan, Peoples R China
  • [ 6 ] [Bai, Fenhua]Yunnan Key Lab Comp Technol Applicat, Kunming, Yunnan, Peoples R China
  • [ 7 ] [Shen, Tao]Yunnan Key Lab Comp Technol Applicat, Kunming, Yunnan, Peoples R China
  • [ 8 ] [Zhang, Chi]Yunnan Key Lab Comp Technol Applicat, Kunming, Yunnan, Peoples R China
  • [ 9 ] [Gong, Bei]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 10 ] [Tian, Siben]Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming 650500, Yunnan, Peoples R China
  • [ 11 ] [Bai, Fenhua]Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming 650500, Yunnan, Peoples R China
  • [ 12 ] [Shen, Tao]Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming 650500, Yunnan, Peoples R China
  • [ 13 ] [Tian, Siben]Yunnan Key Lab Comp Technol Applicat, Kunming 650500, Yunnan, Peoples R China
  • [ 14 ] [Bai, Fenhua]Yunnan Key Lab Comp Technol Applicat, Kunming 650500, Yunnan, Peoples R China
  • [ 15 ] [Shen, Tao]Yunnan Key Lab Comp Technol Applicat, Kunming 650500, Yunnan, Peoples R China
  • [ 16 ] [Gong, Bei]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China

Reprint Author's Address:

  • [Shen, Tao]Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming 650500, Yunnan, Peoples R China;;[Shen, Tao]Yunnan Key Lab Comp Technol Applicat, Kunming 650500, Yunnan, Peoples R China

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Source :

ACM TRANSACTIONS ON SENSOR NETWORKS

ISSN: 1550-4859

Year: 2024

Issue: 2

Volume: 20

Cited Count:

WoS CC Cited Count: 6

SCOPUS Cited Count: 12

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

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