Proof of work algorithm based on credit model

Zuan WANG; Youliang TIAN; Qiuxian LI; Xinhuan YANG

doi:10.11959/j.issn.1000-436x.2018138

您当前的位置：

首页 >

文章列表页 >

Proof of work algorithm based on credit model

Papers | 更新时间：2024-06-05

- Proof of work algorithm based on credit model
- Journal on Communications Vol. 39, Issue 8, Pages: 185-198(2018)
- 作者机构：
  
  1. 贵州大学计算机科学与技术学院，贵州贵阳 550025
  2. 贵州省公共大数据重点实验室（贵州大学），贵州贵阳 550025
  3. 贵州大学密码学与数据安全研究所，贵州贵阳 550025
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61662009);The National Natural Science Foundation of China(61772008);Topnotch Talent in Science and Technology Support Program of Guizhou Province Education Department([2016]060);The Science and Technology Major Support Program of Guizhou Province(20183001);Ministry of Educatio China Mobile Research Fund Project(MCM20170401);Guizhou Provincial Science and Technology Plan Project([2017]5788);The Joint Science and Technology Foundation of Guizhou Province(LH20147476)
- DOI：10.11959/j.issn.1000-436x.2018138
  CLC： TP302
- Online First：2018-08，
  
  Published：25 August 2018
- 稿件说明：
移动端阅览
Zuan WANG, Youliang TIAN, Qiuxian LI, et al. Proof of work algorithm based on credit model[J]. Journal on Communications, 2018, 39(8): 185-198.
DOI：

Zuan WANG, Youliang TIAN, Qiuxian LI, et al. Proof of work algorithm based on credit model[J]. Journal on Communications, 2018, 39(8): 185-198. DOI： 10.11959/j.issn.1000-436x.2018138.

摘要

提出了一种基于信用模型的共识协议。首先，该共识协议借鉴了个人信用风险评估的思想，设计了一种基于BP神经网络的节点信用度模型。其次，构造了一种分片轮转模型，它可以根据节点的信用度高低分割搜索空间产生新区块，同时对协议所面临的可能攻击进行分析，修复了协议存在的漏洞。最后，仿真实验表明共识协议既能有效地降低新区块产生过程中重复计算的巨大资源消耗，也能抑制大型矿池的产生，使整个区块链系统变得更加安全可靠。

Abstract

A consensus protocol based on the credit model was proposed.Firstly

the consensus agreement drew on the idea of personal credit risk assessment and a node credit model based on BP neural network was designed.Secondly

a piecewise rotation model was also constructed to segment the search space according to the node’s credit level to generate new blocks.At the same time

the possible attack of the protocol was analyzed and the vulnerability of this protocol was fixed.Finally

the simulation experiments show that the protocol not only effectively reduces the huge resource consumption in the process of new block generation

but also suppresses the generation of the large mine pool

making the whole blockchain system more secure and reliable.

关键词

Keywords

references

NAKAMOTO S . Bitcoin:a peer-to-peer electronic cash system [J ] . Consulted , 2008 .

MCCONAGHY T , MARQUES R , MÜLLER A , et al . BigchainDB:a scalable blockchain database [R ] . White Paper,BigChainDB , 2016 .

ZYSKIND G , NATHAN O A . Decentralizing privacy:using blockchain to protect personal data [C ] // IEEE Security and Privacy Workshops . 2015 : 180 - 184 .

STOLZ D , WATTENHOFER R . Byzantine agreement with median validity [C ] // 19th International Conference on Priniciples of Distributed Systems (OPODIS) . 2015 .

CASTRO M , LISKOV B . Practical Byzantine fault tolerance and proactive recovery [J ] . ACM Transactions on Computer Systems , 2002 , 20 ( 4 ): 398 - 461 .

CASTRO M , LISKOV B . Practical byzantine fault tolerance [C ] // The Third Symposium on Operating Systems Design and Implementation . 1999 : 173 - 186 .

范捷 , 易乐天 , 舒继武 . 拜占庭系统技术研究综述 [J ] . 软件学报 , 2013 , 24 ( 6 ): 1346 - 1360 .

FAN J , YI L T , SHU J W . Research on the technologies of Byzantine system [J ] . Journal of Software , 2013 , 24 ( 6 ): 1346 - 1360 .

唐长兵 , 杨珍 , 郑忠龙 , 等 . PoW 共识算法中的博弈困境分析与优化 [J ] . 自动化学报 , 2017 , 43 ( 9 ): 1520 - 1531 .

TANG C B , YANG Z , ZHENG Z L , et al . Game dilemma analysis and optimization of PoW consensus algorithm [J ] . Acta Automatica Sinica , 2017 , 43 ( 9 ): 1520 - 1531 .

LAMPORT L . Paxos made simple [J ] . ACM Sigact News , 2001 , 32 ( 4 ): 18 - 25 .

KING S , NADAL S . PPCoin:peer-to-peer crypto-currency with proof-of-stake [J ] . 2001 .

LARIMER D . Delegated proof-of-stake [R ] . White Paper , 2014 .

BENTOV I , LEE C , MIZRAHI A , et al . Proof of activity:extending bitcoin0s proof of work via proof of stake [J ] . ACM Sigmetrics Performance Evaluation Review , 2014 , 42 ( 3 ): 34 - 37 .

ROSENFELD M . Analysis of bitcoin pooled mining reward systems [J ] . Computer Science , 2011 .

ANDREAS M . Antonopoulos.mastering bitcoin [M ] . O’Reilly Media , 2014 .

DING S F , JIA W K , SU C Y , et al . An improved BP neural network algorithm based on factor analysis [J ] . Journal of Convergence Information Technology , 2010 , 5 ( 4 ): 103 - 108 .

MA Y X , WANG S G . The application of artificial neural network in the forecasting on incidence of a disease [C ] // International Conference on Biomedical Engineering and Informatics . 2010 : 1269 - 1272 .

JIN W , LI Z J , WEI L S , et al . The improvements of BP neural network learning algorithm [C ] // International Conference on Signal Processing Proceedings . 2002 : 1647 - 1649 .

BERMAN P , GARAY J A , PERRY K J . Towards optimal distributed consensus [C ] // Symposium on Foundations of Computer Science . 1989 : 410 - 415 .

RAHBARI A N , OJHA U , ZHANG Z , et al . Incremental welfare consensus algorithm for cooperative distributed generation/demand response in smart grid [J ] . IEEE Transactions on Smart Grid , 2017 , 5 ( 6 ): 2836 - 2845 .

Views

1549

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Survey on key technologies for native-intelligence-driven spectrum management towards 6G

Task-aware collaborative optimization of blockchain consensus and storage in UANET

Blockchain-based user-friendly data retrieval and sharing scheme in cloud-assisted industrial Internet of things

Evolutionary game analysis of data elements in a blockchain-based trusted data space

Privacy-preserving authentication scheme for electricity trading in V2G network using anonymous credential and blockchain

Related Author

Wang Xianmei

Ren Yuzheng

Jiang Tianyu

Zhang Haijun

Ma Xu

Jiang Laiwei

Liao Jiangheng

Liu Xin

Related Institution

Hebei Key Laboratory of Space-Air-Ground Intelligent Communication, University of Science and Technology Beijing

School of Safety Science and Engineering, Civil Aviation University of China

School of Computer Science and Artificial Intelligence, Civil Aviation University of China

School of Information and Communication Engineering， Dalian University of Technology

School of Information Science and Technology, Dalian Maritime University

AI问答

⁰