{"title":"Transaction graph based key node identification for blockchain regulation","authors":"Yiren Hu, Xiaozhen Lu, Wei Wang, Ping Cao","doi":"10.1007/s12083-024-01783-y","DOIUrl":null,"url":null,"abstract":"<p>The inherent distributed and anonymity features of the blockchain system may cause illegal activities like improper content dissemination, illegal transactions, money laundering, etc., posing a severe threat to the blockchain. Due to the ultra-large scale of the public chain system, identifying key nodes in the transaction network is usually cost-intensive and time-consuming. In this paper, we propose a transaction graph-based scheme to identify key nodes in the public blockchain, where a multi-stage key node detection algorithm is proposed. Real Ethereum transaction data validates the performance of the proposed scheme. It is shown that with a data volume of millions of items, our multi-stage approach can effectively eliminate low-value information from the data and realize high-efficiency key node detection, with similar performance compared to traditional algorithms without filtering, and an extremely large improvement in algorithm execution time.</p>","PeriodicalId":49313,"journal":{"name":"Peer-To-Peer Networking and Applications","volume":"316 1","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Peer-To-Peer Networking and Applications","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s12083-024-01783-y","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The inherent distributed and anonymity features of the blockchain system may cause illegal activities like improper content dissemination, illegal transactions, money laundering, etc., posing a severe threat to the blockchain. Due to the ultra-large scale of the public chain system, identifying key nodes in the transaction network is usually cost-intensive and time-consuming. In this paper, we propose a transaction graph-based scheme to identify key nodes in the public blockchain, where a multi-stage key node detection algorithm is proposed. Real Ethereum transaction data validates the performance of the proposed scheme. It is shown that with a data volume of millions of items, our multi-stage approach can effectively eliminate low-value information from the data and realize high-efficiency key node detection, with similar performance compared to traditional algorithms without filtering, and an extremely large improvement in algorithm execution time.
期刊介绍:
The aim of the Peer-to-Peer Networking and Applications journal is to disseminate state-of-the-art research and development results in this rapidly growing research area, to facilitate the deployment of P2P networking and applications, and to bring together the academic and industry communities, with the goal of fostering interaction to promote further research interests and activities, thus enabling new P2P applications and services. The journal not only addresses research topics related to networking and communications theory, but also considers the standardization, economic, and engineering aspects of P2P technologies, and their impacts on software engineering, computer engineering, networked communication, and security.
The journal serves as a forum for tackling the technical problems arising from both file sharing and media streaming applications. It also includes state-of-the-art technologies in the P2P security domain.
Peer-to-Peer Networking and Applications publishes regular papers, tutorials and review papers, case studies, and correspondence from the research, development, and standardization communities. Papers addressing system, application, and service issues are encouraged.