医疗保健的数据来源:基于区块链的方法

S. D'Antonio, Federica Uccello
{"title":"医疗保健的数据来源:基于区块链的方法","authors":"S. D'Antonio, Federica Uccello","doi":"10.1109/COMPSAC54236.2022.00263","DOIUrl":null,"url":null,"abstract":"With the advent of Industry 4.0, information has become a key aspect for virtually any system. Critical infrastructures haven't been excluded by this technological revolution, which has led to several advantages in terms of communication, interoperability, and scalability. On the other hand, these systems are now targeted by new attacks, previously exclusive to cybersystems. The potential of data violation ranges from the interruption of the service provided to, in the worst cases, disastrous consequences in environmental, economic and safety terms. Consequently, ensuring data reliability is an essential task to prevent these kinds of attacks. Data provenance, a kind of metadata that identifies the derivation history of a data, can provide a possible solution. This paper aims to discuss solutions for a tamper proof data provenance extended, but not limited, to the healthcare scenario. The proposed approach is based on blockchain technology to ensure protection of sensitive data, such as medical records and healthcare data.","PeriodicalId":330838,"journal":{"name":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Data Provenance for healthcare: a blockchain-based approach\",\"authors\":\"S. D'Antonio, Federica Uccello\",\"doi\":\"10.1109/COMPSAC54236.2022.00263\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the advent of Industry 4.0, information has become a key aspect for virtually any system. Critical infrastructures haven't been excluded by this technological revolution, which has led to several advantages in terms of communication, interoperability, and scalability. On the other hand, these systems are now targeted by new attacks, previously exclusive to cybersystems. The potential of data violation ranges from the interruption of the service provided to, in the worst cases, disastrous consequences in environmental, economic and safety terms. Consequently, ensuring data reliability is an essential task to prevent these kinds of attacks. Data provenance, a kind of metadata that identifies the derivation history of a data, can provide a possible solution. This paper aims to discuss solutions for a tamper proof data provenance extended, but not limited, to the healthcare scenario. The proposed approach is based on blockchain technology to ensure protection of sensitive data, such as medical records and healthcare data.\",\"PeriodicalId\":330838,\"journal\":{\"name\":\"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMPSAC54236.2022.00263\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPSAC54236.2022.00263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

随着工业4.0的出现,信息已成为几乎任何系统的关键方面。关键基础设施并没有被这场技术革命排除在外,它在通信、互操作性和可伸缩性方面带来了一些优势。另一方面,这些系统现在成为新的攻击的目标,以前只有网络系统才会受到攻击。数据违规的可能性包括中断所提供的服务,在最坏的情况下,在环境、经济和安全方面造成灾难性后果。因此,确保数据可靠性是防止此类攻击的基本任务。数据来源是一种标识数据派生历史的元数据,它可以提供一种可能的解决方案。本文旨在讨论扩展但不限于医疗保健场景的防篡改数据来源的解决方案。拟议的方法基于区块链技术,以确保敏感数据的保护,如医疗记录和医疗保健数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Provenance for healthcare: a blockchain-based approach
With the advent of Industry 4.0, information has become a key aspect for virtually any system. Critical infrastructures haven't been excluded by this technological revolution, which has led to several advantages in terms of communication, interoperability, and scalability. On the other hand, these systems are now targeted by new attacks, previously exclusive to cybersystems. The potential of data violation ranges from the interruption of the service provided to, in the worst cases, disastrous consequences in environmental, economic and safety terms. Consequently, ensuring data reliability is an essential task to prevent these kinds of attacks. Data provenance, a kind of metadata that identifies the derivation history of a data, can provide a possible solution. This paper aims to discuss solutions for a tamper proof data provenance extended, but not limited, to the healthcare scenario. The proposed approach is based on blockchain technology to ensure protection of sensitive data, such as medical records and healthcare data.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信