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作 者:郭海凤 杜心童 张羽兮 GUO Haifeng;DU Xintong;ZHANG Yuxi(School of Finance,Southwestern University of Finance and Economics,Chengdu 611130,China;School of Management,Harbin Institute of Technology,Harbin 150001,China)
机构地区:[1]西南财经大学金融学院,成都611130 [2]哈尔滨工业大学经济与管理学院,哈尔滨150001
出 处:《集成技术》2024年第5期93-102,共10页Journal of Integration Technology
基 金:四川省重点研发计划项目(2024YFHZ0161)。
摘 要:独有的金融特性使得广泛嵌套于各种区块链平台上的智能合约成为区块链技术最成功的应用之一。由于承载着大量的资产及虚拟货币,具有极高的经济价值,因此,智能合约不断受到各种安全攻击。此外,匿名与自动执行等特点使得智能合约被用于多种违法交易与恶意应用。基于此,作者首先介绍智能合约在区块链相关技术方面的运行机制和原理,探讨智能合约技术的应用场景及发展中存在的潜在安全漏洞,以及可能引发的安全问题,然后根据对现有研究工作的总结,探讨智能合约漏洞检测领域面临的挑战,并结合深度学习技术展望智能合约的未来研究方向。The unique financial characteristics make smart contract,which are widely nested in various blockchain platforms,one of the most successful applications of blockchain technology.Due to the high economic value of carrying large amounts of assets and virtual currencies,smart contracts are constantly subject to various security attacks.In addition,features such as anonymity and automatic execution make smart contracts used in a variety of illegal transactions and malicious applications.Based on this,the paper firstly introduces the operation mechanism and principle of smart contracts in blockchain-related technologies,discusses the application scenarios of smart contract technology and the potential security vulnerabilities and security problems that may be triggered by the development of smart contract technology,and then,based on the summary of the existing research work,discusses the challenges faced by the field of smart contract vulnerability detection,and looks forward to the future research direction of smart contracts in combination with deep learning technology.
关 键 词:区块链 智能合约 比特币 以太坊 超级账本 有害信息
分 类 号:TP309.2[自动化与计算机技术—计算机系统结构]
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