以太坊代币:在以太坊中模拟原生代币

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE
John Andrews , Michele Ciampi , Vassilis Zikas
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引用次数: 0

摘要

标准化的以太坊代币,如ERC-20代币,已成为筹款(通过ICO)和启动基于区块链的DeFi应用程序的常态。然而,他们要求用户的钱包同时持有代币和以太币,以支付交易的汽油费。这导致了繁琐的用户体验,并从用户的角度使过渡到不同的智能合约区块链或新推出的区块链的过程变得复杂。我们以可组合的方式形式化、实例化和分析一个我们称之为无以太坊代币(简而言之,EET)的系统,该系统允许代币用户以封闭经济的方式进行交易,即钱包上只有代币,并用代币而不是以太币/天然气支付任何交易费用。在此过程中,我们设计了一种在通用可组合性(UC)框架中捕获以太坊代币合约的方法,这可能具有独立的兴趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Etherless Ethereum tokens: Simulating native tokens in Ethereum

Standardized Ethereum tokens, e.g., ERC-20 tokens, have become the norm in fundraising (through ICOs) and kicking off blockchain-based DeFi applications. However, they require the user's wallet to hold both tokens and ether to pay the gas fee for making a transaction. This makes for a cumbersome user experience, and complicates, from the user perspective, the process of transitioning to a different smart-contract enabled blockchain, or to a newly launched blockchain. We formalize, instantiate, and analyze in a composable manner a system that we call Etherless Ethereum Tokens (in short, EETs), which allows the token users to transact in a closed-economy manner, i.e., having only tokens on their wallet and paying any transaction fees in tokens rather than Ether/Gas. In the process, we devise a methodology for capturing Ethereum token-contracts in the Universal Composability (UC) framework, which can be of independent interest.

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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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