Monitoring the Future of Smart Contracts

Author:

Capretto MargaritaORCID,Ceresa MartinORCID,Sánchez CésarORCID

Abstract

AbstractBlockchains are decentralized systems that provide trustable execution guarantees through the use of programs called smart contracts. Smart contracts are programs written in domain-specific programming languages running on blockchains that govern how tokens and cryptocurrency are sent and received. Smart contracts can invoke other smart contracts during the execution of transactions initiated by external users.Once deployed, smart contracts running code cannot be modified, so techniques like runtime verification are very appealing for improving their reliability. Moreover, the conventional model of computation of smart contracts is transactional: once operations commit, their effects are permanent and cannot be undone. Therefore, errors in smart contracts may lead to millionaire losses of money.In this paper, we present the concept of future monitors which allows monitors to remain waiting for future transactions to occur before committing or aborting. This is inspired by optimistic rollups, which are modern blockchain implementations that increase efficiency (and reduce cost) by delaying transaction effects. We exploit this delay to propose a model of computation that allows bounded future monitors. We show our monitors correct respect with legacy transactions, how they implement bounded future monitors and how they guarantee progress. We illustrate the use of bounded future monitors by implementing correctly multi-transaction flash loans.

Publisher

Springer Nature Switzerland

Reference28 articles.

1. Michelson: the language of smart contracts in Tezos. https://tezos.gitlab.io/whitedoc/michelson.html.

2. Ethereum. Solidity documentation — release 0.2.0. http://solidity.readthedocs.io/, 2016.

3. W. Ahrendt and R. Bubel. Functional verification of smart contracts via strong data integrity. In Proc. of ISoLA (3), number 12478 in LNCS, pages 9–24. Springer, 2020.

4. G. Alfour. LIGO: a friendly smart-contract language for Tezos. https://ligolang.org, 2020. last accessed: 2022-05-03.

5. D. Annenkov, J. B. Nielsen, and B. Spitters. ConCert: a smart contract certification framework in Coq. In Proc. of the 9th ACM SIGPLAN Int’l Conf. on Certified Programs and Proofs (CPP’20), pages 215–218. ACM, 2020.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3