区块链网络中智能合约的威胁防范与漏洞分析

Pankaj Chandra, Santosh Soni, Akanksha Gupta, Prayas Kumar, Kunal Raj
{"title":"区块链网络中智能合约的威胁防范与漏洞分析","authors":"Pankaj Chandra, Santosh Soni, Akanksha Gupta, Prayas Kumar, Kunal Raj","doi":"10.55766/sujst-2023-05-e01234","DOIUrl":null,"url":null,"abstract":"Blockchain technology now relies heavily on smart contracts, which offer self-executing code for the exchange of goods and data. Smart contracts enable financial activities like payments and auctions on blockchain systems. Even if bugs are found, they cannot be changed. They are frequently used to automate the implementation of agreements so that all parties may be confident in the conclusion without the need for an intermediary. But because of their openness and how they interact with one another in the blockchain ecosystem, these contracts are vulnerable to security risks. Smart contract security research has advanced significantly in recent years. The research community of smart contract security has made a significant improvement recently. Researchers have identified several security flaws in smart contracts and have created frameworks for verification and static analysis to find them. This study attempts to identify the most critical software security issues that affect smart contracts. These are then handled utilizing a variety of methods and equipment common to the sector","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"THREAT PREVENTION & VULNERABILITY ANALYSIS OF SMART CONTRACTS IN BLOCKCHAIN NETWORKS\",\"authors\":\"Pankaj Chandra, Santosh Soni, Akanksha Gupta, Prayas Kumar, Kunal Raj\",\"doi\":\"10.55766/sujst-2023-05-e01234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Blockchain technology now relies heavily on smart contracts, which offer self-executing code for the exchange of goods and data. Smart contracts enable financial activities like payments and auctions on blockchain systems. Even if bugs are found, they cannot be changed. They are frequently used to automate the implementation of agreements so that all parties may be confident in the conclusion without the need for an intermediary. But because of their openness and how they interact with one another in the blockchain ecosystem, these contracts are vulnerable to security risks. Smart contract security research has advanced significantly in recent years. The research community of smart contract security has made a significant improvement recently. Researchers have identified several security flaws in smart contracts and have created frameworks for verification and static analysis to find them. This study attempts to identify the most critical software security issues that affect smart contracts. These are then handled utilizing a variety of methods and equipment common to the sector\",\"PeriodicalId\":509211,\"journal\":{\"name\":\"Suranaree Journal of Science and Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Suranaree Journal of Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55766/sujst-2023-05-e01234\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Suranaree Journal of Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55766/sujst-2023-05-e01234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

区块链技术目前在很大程度上依赖于智能合约,它为商品和数据交换提供了自我执行代码。智能合约使区块链系统上的支付和拍卖等金融活动成为可能。即使发现漏洞,也无法更改。它们经常被用来自动执行协议,以便各方都能对缔结的协议充满信心,而无需中间人。但是,由于它们的开放性以及它们在区块链生态系统中的交互方式,这些合约很容易受到安全风险的影响。近年来,智能合约安全研究取得了重大进展。智能合约安全研究界最近取得了重大进展。研究人员发现了智能合约中的一些安全漏洞,并创建了验证和静态分析框架来查找这些漏洞。本研究试图找出影响智能合约的最关键软件安全问题。然后利用该领域常用的各种方法和设备来处理这些问题
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
THREAT PREVENTION & VULNERABILITY ANALYSIS OF SMART CONTRACTS IN BLOCKCHAIN NETWORKS
Blockchain technology now relies heavily on smart contracts, which offer self-executing code for the exchange of goods and data. Smart contracts enable financial activities like payments and auctions on blockchain systems. Even if bugs are found, they cannot be changed. They are frequently used to automate the implementation of agreements so that all parties may be confident in the conclusion without the need for an intermediary. But because of their openness and how they interact with one another in the blockchain ecosystem, these contracts are vulnerable to security risks. Smart contract security research has advanced significantly in recent years. The research community of smart contract security has made a significant improvement recently. Researchers have identified several security flaws in smart contracts and have created frameworks for verification and static analysis to find them. This study attempts to identify the most critical software security issues that affect smart contracts. These are then handled utilizing a variety of methods and equipment common to the sector
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
EXPLORING FACTORS AFFECTING NITROGEN ISOLATION BY CATION EXCHANGE MEMBRANE AND THEIR IMPLICATIONS FOR MICROBIAL FUEL CELL PERFORMANCE IN WASTEWATER TREATMENT COMPREHENSIVE DISCUSSION OF THE REPAIRABLE SINGLE SERVER CATASTROPHE AND MULTIPLE VACATION QUEUEING MODEL MODEL FORMULATION AND COMPUTATION FOR FACTORS INFLUENCING MYOCARDIAL INFARCTION IN HUMANS TO ANALYZE THE LUNGS X-RAY IMAGES USING MACHINE LEARNING ALGORITHM: AN IMPLEMENTATION TO PNEUMONIA DIAGNOSIS DECIPHERING THE INTRICATE NETWORK OF POLY CYSTIC OVARIAN SYNDROME: A THOROUGH EXAMINATION OF HORMONAL AND DEMOGRAPHIC INFLUENCES
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1