Dynamic Evolutionary Game-based Modeling, Analysis and Performance Enhancement of Blockchain Channels

doi:10.1109/JAS.2022.105911

CASIA OpenIR > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Dynamic Evolutionary Game-based Modeling, Analysis and Performance Enhancement of Blockchain Channels
	PeiYun Zhang; MengChu Zhou; ChenXi Li; Abdullah Abusorrah
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2023
卷号	10 期号:1 页码:188-202
摘要	The recent development of channel technology has promised to reduce the transaction verification time in blockchain operations. When transactions are transmitted through the channels created by nodes, the nodes need to cooperate with each other. If one party refuses to do so, the channel is unstable. A stable channel is thus required. Because nodes may show uncooperative behavior, they may have a negative impact on the stability of such channels. In order to address this issue, this work proposes a dynamic evolutionary game model based on node behavior. This model considers various defense strategies’ cost and attack success ratio under them. Nodes can dynamically adjust their strategies according to the behavior of attackers to achieve their effective defense. The equilibrium stability of the proposed model can be achieved. The proposed model can be applied to general channel networks. It is compared with two state-of-the-art blockchain channels: Lightning network and Spirit channels. The experimental results show that the proposed model can be used to improve a channel’s stability and keep it in a good cooperative stable state. Thus its use enables a blockchain to enjoy higher transaction success ratio and lower transaction transmission delay than the use of its two peers.
关键词	Blockchain channel network evolutionary game malicious behavior secure computing stability analysis
DOI	10.1109/JAS.2022.105911
引用统计	被引频次：12[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/50735
专题	学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	PeiYun Zhang,MengChu Zhou,ChenXi Li,et al. Dynamic Evolutionary Game-based Modeling, Analysis and Performance Enhancement of Blockchain Channels[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(1):188-202.
APA	PeiYun Zhang,MengChu Zhou,ChenXi Li,&Abdullah Abusorrah.(2023).Dynamic Evolutionary Game-based Modeling, Analysis and Performance Enhancement of Blockchain Channels.IEEE/CAA Journal of Automatica Sinica,10(1),188-202.
MLA	PeiYun Zhang,et al."Dynamic Evolutionary Game-based Modeling, Analysis and Performance Enhancement of Blockchain Channels".IEEE/CAA Journal of Automatica Sinica 10.1(2023):188-202.

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