可重构区块链治理的激励机制:进化博弈方法

IF 4.5 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS IEEE Transactions on Computational Social Systems Pub Date : 2024-06-05 DOI:10.1109/TCSS.2024.3398044
Jiaxiang Sun;Rong Zhao;Haoran Yin;Wei Cai
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引用次数: 0

摘要

近年来,区块链技术因其能够提供安全透明的交易系统而备受关注。然而,该技术固有的不可更改性可能会在特定场景中带来挑战。虽然早期的研究主要集中在可编辑区块链的开发上,但现有的解决方案主要集中在修改机制上,往往忽略了治理激励机制这一关键要素,而这对于确保可编辑区块链的安全性至关重要。之前的一些研究对激励机制的设计进行了探索,但这些研究表现出一定的缺陷。为了促进可编辑区块链利益相关者的积极参与,我们设计了一种基于进化博弈论的激励机制,旨在促进可编辑区块链的治理。此外,我们还在博弈论分析的基础上进行了综合模拟。结果证明了我们的可编辑区块链激励机制在实现预期目标方面的有效性。
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Incentive Mechanism for Redactable Blockchain Governance: An Evolutionary Game Approach
Blockchain technology has garnered significant attention in recent years due to its capacity to offer secure and transparent transactional systems. However, the technology's inherent immutability can present challenges in specific scenarios. While earlier research has concentrated on the development of redactable blockchain, existing solutions have primarily focused on the modification mechanism, often overlooking the critical element of an incentive mechanism for governance, which is paramount for ensuring the security of redactable blockchain. Some previous researches have explored the design of incentive mechanisms, but these studies exhibit certain shortcomings. To promote active participation, we have designed an incentive mechanism rooted in evolutionary game theory for stakeholders in redactable blockchain, aiming to facilitate the governance of redactable blockchain. Furthermore, we have conducted a comprehensive simulation founded on game-theoretic analysis. The results substantiate the effectiveness of our redactable blockchain incentive mechanism in achieving its intended objectives.
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来源期刊
IEEE Transactions on Computational Social Systems
IEEE Transactions on Computational Social Systems Social Sciences-Social Sciences (miscellaneous)
CiteScore
10.00
自引率
20.00%
发文量
316
期刊介绍: IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the proposed transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.
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