Comparative Survey on Big data Security Applications, A Blink on Interactive Security Mechanism in Apache Ozone

Shiraz Ali Wagan, M. Junaid, Nawab Muhammad Faseeh Qureshi, D. Shin, Kee-Hyun Choi
{"title":"Comparative Survey on Big data Security Applications, A Blink on Interactive Security Mechanism in Apache Ozone","authors":"Shiraz Ali Wagan, M. Junaid, Nawab Muhammad Faseeh Qureshi, D. Shin, Kee-Hyun Choi","doi":"10.1109/GCWOT49901.2020.9391610","DOIUrl":null,"url":null,"abstract":"Nowadays, companies are transitioning towards security-based technology to secure data at the maximum level and there are several solutions provided to solve the big data security issues. The existing solutions are highly multidisciplinary security embedded, but still, there are openings to solve the upcoming Hadoop technology like Apache Ozone which is scalable, redundant, and more importantly a distributed object storage for Hadoop. With the growing information and technology, the volume of data traffic is transmitted over storage that requires extensive security measures and privacy in the environment of big data. In this paper, we describe our efforts towards the traditional way of securing the data and compare different methods to secure the data in Hadoop technology and suggested an optimum solution.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCWOT49901.2020.9391610","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Nowadays, companies are transitioning towards security-based technology to secure data at the maximum level and there are several solutions provided to solve the big data security issues. The existing solutions are highly multidisciplinary security embedded, but still, there are openings to solve the upcoming Hadoop technology like Apache Ozone which is scalable, redundant, and more importantly a distributed object storage for Hadoop. With the growing information and technology, the volume of data traffic is transmitted over storage that requires extensive security measures and privacy in the environment of big data. In this paper, we describe our efforts towards the traditional way of securing the data and compare different methods to secure the data in Hadoop technology and suggested an optimum solution.
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
大数据安全应用对比调查,Apache Ozone交互安全机制初探
如今,公司正在向基于安全的技术过渡,以最大程度地保护数据,并且提供了几种解决方案来解决大数据安全问题。现有的解决方案是高度多学科的安全嵌入式解决方案,但仍然存在解决即将到来的Hadoop技术的机会,如Apache Ozone,它是可扩展的,冗余的,更重要的是Hadoop的分布式对象存储。随着信息技术的发展,大量的数据流量通过存储进行传输,在大数据环境下,需要广泛的安全措施和隐私保护。在本文中,我们描述了我们对传统数据保护方式的努力,并比较了Hadoop技术中不同的数据保护方法,并提出了最佳解决方案。
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
自引率
0.00%
发文量
0
期刊最新文献
Data Encryption Scheme Based On Adaptive System Comparative Survey on Big data Security Applications, A Blink on Interactive Security Mechanism in Apache Ozone A Review on Key Management and Lightweight Cryptography for IoT IoT Based Technique for Household Rainwater Harvesting IoT based Linear Models Analysis for Demand-Side Management of Energy in Residential Buildings
×
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