Blockchain for Big Data: Approaches, Opportunities and Future Directions

IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Recent Advances in Electrical & Electronic Engineering Pub Date : 2023-06-07 DOI:10.2174/2352096516666230607104537
Vikash Yadav, Amrita Jyoti, Ayushi Prakash, Sonu Kumar Jha, M. Rahul
{"title":"Blockchain for Big Data: Approaches, Opportunities and Future Directions","authors":"Vikash Yadav, Amrita Jyoti, Ayushi Prakash, Sonu Kumar Jha, M. Rahul","doi":"10.2174/2352096516666230607104537","DOIUrl":null,"url":null,"abstract":"\n\nThe last several years have seen a significant increase in interest in big data across a range of scientific and engineering fields. Despite having several benefits and applications, big data still has some difficulties that must be overcome for a higher level of service, such as big data analytics, big data management, and big data privacy and security. Big data services and apps stand to greatly benefit from blockchain decentralisation and security features. In this article, we present an overview of blockchain for big data with an emphasis on current methods, possibilities, and upcoming trends. We begin by providing a succinct explanation of big data, blockchain, and the purpose of their integration. After that, we look at different types of blockchain assistance for big data, such as blockchain for security in big data collection, data privacy protection, storage, and collection. Next, we examine the latest work on the utilization of blockchain applications for big data across different industries, including smart grid apps and applications, smart city applications, and smart healthcare applications. A few illustrative blockchain-big data initiatives are given and discussed for a good understanding. Finally, difficulties and potential directions are examined to advance research in an exciting field.\n","PeriodicalId":43275,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering","volume":"54 3","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Recent Advances in Electrical & Electronic Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/2352096516666230607104537","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

The last several years have seen a significant increase in interest in big data across a range of scientific and engineering fields. Despite having several benefits and applications, big data still has some difficulties that must be overcome for a higher level of service, such as big data analytics, big data management, and big data privacy and security. Big data services and apps stand to greatly benefit from blockchain decentralisation and security features. In this article, we present an overview of blockchain for big data with an emphasis on current methods, possibilities, and upcoming trends. We begin by providing a succinct explanation of big data, blockchain, and the purpose of their integration. After that, we look at different types of blockchain assistance for big data, such as blockchain for security in big data collection, data privacy protection, storage, and collection. Next, we examine the latest work on the utilization of blockchain applications for big data across different industries, including smart grid apps and applications, smart city applications, and smart healthcare applications. A few illustrative blockchain-big data initiatives are given and discussed for a good understanding. Finally, difficulties and potential directions are examined to advance research in an exciting field.
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
区块链大数据:方法、机遇和未来方向
在过去的几年里,科学和工程领域对大数据的兴趣显著增加。尽管大数据有许多好处和应用,但要实现更高水平的服务,仍然存在一些必须克服的困难,例如大数据分析、大数据管理、大数据隐私和安全。大数据服务和应用程序将从区块链的去中心化和安全特性中受益匪浅。在本文中,我们概述了大数据的区块链,重点介绍了当前的方法、可能性和未来的趋势。我们首先对大数据、区块链及其集成的目的进行了简要的解释。之后,我们将研究不同类型的区块链对大数据的辅助,例如区块链在大数据收集中的安全,数据隐私保护,存储和收集。接下来,我们将研究区块链应用程序在不同行业大数据利用方面的最新工作,包括智能电网应用程序和应用程序、智能城市应用程序和智能医疗应用程序。为了更好地理解,本文给出并讨论了一些说明性的区块链大数据计划。最后,对这一令人兴奋的领域的研究进行了困难和潜在的方向分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Recent Advances in Electrical & Electronic Engineering
Recent Advances in Electrical & Electronic Engineering ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
1.70
自引率
16.70%
发文量
101
期刊介绍: Recent Advances in Electrical & Electronic Engineering publishes full-length/mini reviews and research articles, guest edited thematic issues on electrical and electronic engineering and applications. The journal also covers research in fast emerging applications of electrical power supply, electrical systems, power transmission, electromagnetism, motor control process and technologies involved and related to electrical and electronic engineering. The journal is essential reading for all researchers in electrical and electronic engineering science.
期刊最新文献
Solar and Wind-based Renewable DGs and DSTATCOM Allotment in Distribution System with Consideration of Various Load Models Using Spotted Hyena Optimizer Algorithm Soft Switching Technique in a Modified SEPIC Converter with MPPT using Cuckoo Search Algorithm An Adaptive Framework for Traffic Congestion Prediction Using Deep Learning Augmented Reality Control Based Energy Management System for Residence Mitigation of the Impact of Incorporating Charging Stations for Electric Vehicles Using Solar-based Renewable DG on the Electrical Distribution System
×
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