权力下放
投票
共谋
计算机科学
块(置换群论)
计算机安全
交易成本
数据库事务
业务
产业组织
分布式计算
经济
微观经济学
政治学
法学
数据库
市场经济
数学
政治
几何学
作者
Jieli Liu,Weilin Zheng,Dingyuan Lu,Jiajing Wu,Zibin Zheng
出处
期刊:IEEE Transactions on Computational Social Systems
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:: 1-12
被引量:2
标识
DOI:10.1109/tcss.2022.3191350
摘要
As one of the most popular blockchain systems, EOSIO has been widely used in decentralized applications (DApps). Compared with traditional proof-of-work (PoW)-based blockchain systems like Bitcoin, EOSIO achieves a high transaction throughput and an alleged decentralization with the Delegated Proof-of-Stake (DPoS) consensus protocol. However, recent reports claimed the existence of voting collusion and manipulation during the DPoS consensus procedure of EOSIO, which may greatly decline the decentralization degree, fault tolerance, and reliability of the whole system. In this article, we obtain data from up to 135 000 000 blocks of EOSIO and conduct a data-driven decentralization analysis. Specifically, we characterize the decentralization evolution of the two phases in DPoS, namely block producer election and block production. Moreover, we study the voters with similar voting behaviors and propose methods to discover abnormal mutual voting behaviors in EOSIO. The analysis results show how EOSIO gradually evolves from decentralization to oligopoly and our methods can effectively capture abnormal voting phenomena in the EOSIO, which can also provide important insights for the design and maintenance of other DPoS-based blockchains.
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