Xuan Chen, Xincan Zhang, Zhaohan Wang, Kerun Yu, Wong Kam-Kwai, Haoyun Guo, Siming Chen
{"title":"用于检测以太坊共识层安全威胁的可视化分析技术","authors":"Xuan Chen, Xincan Zhang, Zhaohan Wang, Kerun Yu, Wong Kam-Kwai, Haoyun Guo, Siming Chen","doi":"10.1007/s12650-024-00969-z","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The Ethereum consensus layer provides the Proof of Stake (PoS) consensus algorithm with the beacon chain for the Ethereum blockchain network. However, the beacon chain is proved vulnerable to consensus-targeted attacks, which are difficult to detect. To address this issue, blockchain developers require an interactive tool to identify and mitigate potential security threats. Currently, most blockchain visualization solutions only display client logs or transaction records, making responding quickly to security threats challenging. This paper introduces the first visual analytics solution for security threat awareness on the Ethereum consensus layer. We cooperate with blockchain experts and investigate a top-down exploration approach, providing an overview of the general security level, as well as detailed consensus achievements in each slot. Our visual system lets users discover specific outcomes of the consensus execution and identify anomalies in the beacon chain historical data. Furthermore, the system includes two case studies of actual attacks to help developers better understand and mitigate potential security threats.</p><h3 data-test=\"abstract-sub-heading\">Graphical abstract</h3>","PeriodicalId":54756,"journal":{"name":"Journal of Visualization","volume":"19 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Visual analytics for security threats detection in Ethereum consensus layer\",\"authors\":\"Xuan Chen, Xincan Zhang, Zhaohan Wang, Kerun Yu, Wong Kam-Kwai, Haoyun Guo, Siming Chen\",\"doi\":\"10.1007/s12650-024-00969-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Abstract</h3><p>The Ethereum consensus layer provides the Proof of Stake (PoS) consensus algorithm with the beacon chain for the Ethereum blockchain network. However, the beacon chain is proved vulnerable to consensus-targeted attacks, which are difficult to detect. To address this issue, blockchain developers require an interactive tool to identify and mitigate potential security threats. Currently, most blockchain visualization solutions only display client logs or transaction records, making responding quickly to security threats challenging. This paper introduces the first visual analytics solution for security threat awareness on the Ethereum consensus layer. We cooperate with blockchain experts and investigate a top-down exploration approach, providing an overview of the general security level, as well as detailed consensus achievements in each slot. Our visual system lets users discover specific outcomes of the consensus execution and identify anomalies in the beacon chain historical data. Furthermore, the system includes two case studies of actual attacks to help developers better understand and mitigate potential security threats.</p><h3 data-test=\\\"abstract-sub-heading\\\">Graphical abstract</h3>\",\"PeriodicalId\":54756,\"journal\":{\"name\":\"Journal of Visualization\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Visualization\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s12650-024-00969-z\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Visualization","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s12650-024-00969-z","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Visual analytics for security threats detection in Ethereum consensus layer
Abstract
The Ethereum consensus layer provides the Proof of Stake (PoS) consensus algorithm with the beacon chain for the Ethereum blockchain network. However, the beacon chain is proved vulnerable to consensus-targeted attacks, which are difficult to detect. To address this issue, blockchain developers require an interactive tool to identify and mitigate potential security threats. Currently, most blockchain visualization solutions only display client logs or transaction records, making responding quickly to security threats challenging. This paper introduces the first visual analytics solution for security threat awareness on the Ethereum consensus layer. We cooperate with blockchain experts and investigate a top-down exploration approach, providing an overview of the general security level, as well as detailed consensus achievements in each slot. Our visual system lets users discover specific outcomes of the consensus execution and identify anomalies in the beacon chain historical data. Furthermore, the system includes two case studies of actual attacks to help developers better understand and mitigate potential security threats.
Journal of VisualizationCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
CiteScore
3.40
自引率
5.90%
发文量
79
审稿时长
>12 weeks
期刊介绍:
Visualization is an interdisciplinary imaging science devoted to making the invisible visible through the techniques of experimental visualization and computer-aided visualization.
The scope of the Journal is to provide a place to exchange information on the latest visualization technology and its application by the presentation of latest papers of both researchers and technicians.