Adventures of a Light Blockchain Protocol in a Forest of Transactions: A Subset of a Story

IEEE Access

Christopher Carr¹  Essam Ghadafi²  Santeri Paavolainen³ 

[1] Department of Accounting, Economics and Finance, University of the West of England, Bristol, U.K.;Department of Computer Science and Creative Technologies, University of the West of England, Bristol, U.K.;School of Electrical Engineering, Aalto University, Espoo, Finland;

关键词: Blockchain;    Ethereum;    transactions;    transaction dependencies;    light protocol;    constrained devices;   

DOI  :  10.1109/ACCESS.2021.3101717

来源: DOAJ

【 摘 要 】

The Ethereum blockchain is one of the most popular permissionless blockchains. A consequence of its popularity has been the growth of processing and data storage requirements for any node participating in the Ethereum blockchain network. For constrained devices such requirements are often infeasible to meet. To cater for such nodes, a so-called light protocol has been proposed for Ethereum where the responsibility of maintaining a correct state representation is delegated to light protocol servers. Previous research has identified dependence on external state management as a potential security vulnerability that exclusively impacts light nodes. Although a simple mitigation strategy is available, it comes at the expense of increased latency. In this work, we propose a new Ethereum node type, which we call a subset node, as an extension of the light protocol. Our proposal allows subset nodes to gain a lower latency than a pure light node with comparable or even higher security assurances by tracking and evaluating only a subset of all of the transactions issued on the blockchain. We provide a formal proof on the correctness of the blockchain state used by the subset node under the proposed model. To evaluate the practical feasibility of the subset node model, we analyze one year of historical transaction data from Ethereum, and demonstrate that a subset node tracking the state of a single account can achieve a significant reduction in storage and computational requirements when compared to a full node.

【 授权许可】

Unknown