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author:

Du, Xiao-Li (Du, Xiao-Li.) [1] | Li, Deng-Feng (Li, Deng-Feng.) [2] | Liang, Kai-Rong (Liang, Kai-Rong.) [3]

Indexed by:

EI

Abstract:

In proof-of-work (PoW)-based blockchain network, the blockchain miners publish blocks by contributing computing power to solve crypto-puzzles. Due to the weak computing power of single miner, miners tend to join a mining pool and share the profits from the mining pool according to the contribution proportions of the miners. However, some miners may initiate block withholding attack which may result in wasting computing power, even threatening the efficiency of the blockchain network. To address this problem, in this paper, we use the biform game model to optimize the miners’ strategy choices. We firstly formulate the mining process as a non-cooperative–cooperative biform game model. We use the model to exhibit miners’ strategy choices (non-cooperation stage) and the cooperation mining process (cooperation stage). Then we set the conditions to maintain the voluntary honest behavior of miners. After that, we employ the semi-CIS (semi-the center of imputation set value) value to compute the solutions of the cooperative games in the cooperation stage, and optimize miners’ strategy choices to prevent the block withholding attack. Hence we can ensure the blockchain network is secure. Finally, the validity and applicability of the proposed model and method are verified by a numerical example. © 2019 The Authors. Published by Atlantis Press SARL.

Keyword:

Big data Blockchain Data mining Lakes Miners Numerical methods

Community:

  • [ 1 ] [Du, Xiao-Li]School of Economics and Management, Fuzhou University, No. 2, Xueyuan Road, Daxue Town, Fuzhou; Fujian; 350108, China
  • [ 2 ] [Li, Deng-Feng]School of Management and Economics, University of Electronic Science and Technology of China, No. 2006, Xiyuan Road, High-Tech District, Chengdu; Sichuan; 611731, China
  • [ 3 ] [Liang, Kai-Rong]School of Economics and Management, Fuzhou University, No. 2, Xueyuan Road, Daxue Town, Fuzhou; Fujian; 350108, China

Reprint 's Address:

  • [li, deng-feng]school of management and economics, university of electronic science and technology of china, no. 2006, xiyuan road, high-tech district, chengdu; sichuan; 611731, china

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Source :

International Journal of Computational Intelligence Systems

ISSN: 1875-6891

Year: 2019

Issue: 2

Volume: 12

Page: 1353-1360

1 . 8 3 8

JCR@2019

2 . 5 0 0

JCR@2023

ESI HC Threshold:162

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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