abstract

Understanding (Mis)Behavior on the EOSIO Blockchain

Authors:

Lei Wu,

Xuxian JiangAuthors Info & Claims

SIGMETRICS '20: Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems

Pages 83 - 84

https://doi.org/10.1145/3393691.3394223

Published: 08 June 2020 Publication History

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Abstract

EOSIO has become one of the most popular blockchain platforms since its mainnet launch in June 2018. In contrast to the traditional PoW-based systems (e.g., Bitcoin and Ethereum), which are limited by low throughput, EOSIO is the first high throughput Delegated Proof of Stake system that has been widely adopted by many decentralized applications. Although EOSIO has millions of accounts and billions of transactions, little is known about its ecosystem, especially related to security and fraud. In this paper, we perform a large-scale measurement study of the EOSIO blockchain and its associated DApps. We gather a large-scale dataset of EOSIO and characterize activities including money transfers, account creation and contract invocation. Using our insights, we then develop techniques to automatically detect bots and fraudulent activity. We discover thousands of bot accounts (over 30% of the accounts in the platform) and a number of real-world attacks (301 attack accounts). By the time of our study, 80 attack accounts we identified have been confirmed by DApp teams, causing 828,824 EOS tokens losses (roughly \$2.6 million) in total.

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MP4 File (3393691.3394223.mp4)

This presentation video is for paper Understanding (Mis)Behavior on the EOSIO Blockchain. The video mainly involves three parts: 1. The general overview of EOSIO. 2. Bot detection of EOSIO. 3. Security issues of EOSIO.

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References

[1]

2019. Bots Index. https://github.com/hashbaby-com/eos-hall-of-shame/tree/master/bots.

Google Scholar

[2]

Yuheng Huang, Haoyu Wang, Lei Wu, Gareth Tyson, Xiapu Luo, Run Zhang, Xuanzhe Liu, Gang Huang, and Xuxian Jiang. 2020. Understanding (Mis)Behavior on the EOSIO Blockchain. Proc. ACM Meas. Anal.Comput. Syst., Vol. 4, 2 (2020).

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Hu XFeng HXia PTyson GWu LZhou YWang H(2024)Piecing Together the Jigsaw Puzzle of Transactions on Heterogeneous Blockchain NetworksProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/37004248:3(1-27)Online publication date: 10-Dec-2024
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Lin DWu JYu YFu QZheng ZYang CChua TNgo CKa-Wei Lee RKumar RLauw H(2024)DenseFlow: Spotting Cryptocurrency Money Laundering in Ethereum Transaction GraphsProceedings of the ACM Web Conference 202410.1145/3589334.3645692(4429-4438)Online publication date: 13-May-2024
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Qi YWu JXu HGuizani M(2024)Blockchain Data Mining With Graph Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2023.332740446:2(729-748)Online publication date: Feb-2024
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Index Terms

Understanding (Mis)Behavior on the EOSIO Blockchain
1. Information systems
  1. World Wide Web
    1. Web mining
2. Security and privacy
  1. Intrusion/anomaly detection and malware mitigation
  2. Software and application security
    1. Web application security

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Information

Published In

SIGMETRICS '20: Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems

June 2020

124 pages

ISBN:9781450379854

DOI:10.1145/3393691

General Chair:
Edmund Yeh
Northeastern University, USA
,
Program Chairs:
Athina Markopoulou
University of California, Irvine, USA
,
Y.C. Tay
National University of Singapore, Singapore

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 June 2020

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Conference

SIGMETRICS '20

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SIGMETRICS

SIGMETRICS '20: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems

June 8 - 12, 2020

MA, Boston, USA

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Overall Acceptance Rate 459 of 2,691 submissions, 17%

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Hu XFeng HXia PTyson GWu LZhou YWang H(2024)Piecing Together the Jigsaw Puzzle of Transactions on Heterogeneous Blockchain NetworksProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/37004248:3(1-27)Online publication date: 10-Dec-2024
https://dl.acm.org/doi/10.1145/3700424
Lin DWu JYu YFu QZheng ZYang CChua TNgo CKa-Wei Lee RKumar RLauw H(2024)DenseFlow: Spotting Cryptocurrency Money Laundering in Ethereum Transaction GraphsProceedings of the ACM Web Conference 202410.1145/3589334.3645692(4429-4438)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589334.3645692
Qi YWu JXu HGuizani M(2024)Blockchain Data Mining With Graph Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2023.332740446:2(729-748)Online publication date: Feb-2024
https://doi.org/10.1109/TPAMI.2023.3327404
Wu ZLiu JWu JZheng ZChen T(2023)TRacer: Scalable Graph-Based Transaction Tracing for Account-Based Blockchain Trading SystemsIEEE Transactions on Information Forensics and Security10.1109/TIFS.2023.326616218(2609-2621)Online publication date: 2023
https://doi.org/10.1109/TIFS.2023.3266162
Liu JZheng WLu DWu JZheng Z(2023)From Decentralization to Oligopoly: A Data-Driven Analysis of Decentralization Evolution and Voting Behaviors on EOSIOIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.319135010:5(2752-2763)Online publication date: Oct-2023
https://doi.org/10.1109/TCSS.2022.3191350
Xiao XXiao WLi RLuo XZheng HXia S(2022)EBSNN: Extended Byte Segment Neural Network for Network Traffic ClassificationIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2021.310131119:5(3521-3538)Online publication date: 1-Sep-2022
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Lin DChen JWu JZheng Z(2022)Evolution of Ethereum Transaction Relationships: Toward Understanding Global Driving Factors From Microscopic PatternsIEEE Transactions on Computational Social Systems10.1109/TCSS.2021.30933849:2(559-570)Online publication date: Apr-2022
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Rebello GCamilo GGuimaraes Lde Souza LDuarte O(2022)Security and Performance Analysis of Quorum-based Blockchain Consensus Protocols2022 6th Cyber Security in Networking Conference (CSNet)10.1109/CSNet56116.2022.9955597(1-7)Online publication date: 24-Oct-2022
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Lin SZhang LLi JJi LSun Y(2022)A survey of application research based on blockchain smart contractWireless Networks10.1007/s11276-021-02874-xOnline publication date: 17-Jan-2022
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Huang YWang HWu LTyson GLuo XZhang RLiu XHuang GJiang X(2020)Understanding (Mis)Behavior on the EOSIO BlockchainACM SIGMETRICS Performance Evaluation Review10.1145/3410048.341009648:1(83-84)Online publication date: 9-Jul-2020
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