Protecting Data Storage on Cloud to Enhance Security Level and Processing of the Data by using Hadoop

S. Saxena, A. Shrivastava, A. Saxena, M. Manoria
{"title":"Protecting Data Storage on Cloud to Enhance Security Level and Processing of the Data by using Hadoop","authors":"S. Saxena, A. Shrivastava, A. Saxena, M. Manoria","doi":"10.1109/ICACAT.2018.8933675","DOIUrl":null,"url":null,"abstract":"Cloud computing is the modern technology, that facilitates to the user various resources, data and files to access from anywhere that a network is available, it is today’s modern computing where we distribute our resources and software from one place to another, but still the security of the data is a major problem in the cloud. However, there is need of processing a huge number of data and maintained the security over cloud. In this research we proposed a software framework (hadoop) with the cloud which helps us to process the huge number of data by using map-reduce model. To add security we use Kerberos authentication protocol which helps us to enhance security level over the cloud and also it is used to provide authentication to the users. We analyze and compare our technique with existing techniques, the results shows that our technique is much more secure and provide user authentication.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACAT.2018.8933675","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

Cloud computing is the modern technology, that facilitates to the user various resources, data and files to access from anywhere that a network is available, it is today’s modern computing where we distribute our resources and software from one place to another, but still the security of the data is a major problem in the cloud. However, there is need of processing a huge number of data and maintained the security over cloud. In this research we proposed a software framework (hadoop) with the cloud which helps us to process the huge number of data by using map-reduce model. To add security we use Kerberos authentication protocol which helps us to enhance security level over the cloud and also it is used to provide authentication to the users. We analyze and compare our technique with existing techniques, the results shows that our technique is much more secure and provide user authentication.
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
利用Hadoop保护云上的数据存储,提高数据的安全级别和处理能力
云计算是一种现代技术,它方便用户从任何地方访问网络可用的各种资源、数据和文件,这是今天的现代计算,我们将资源和软件从一个地方分发到另一个地方,但数据的安全性仍然是云中的一个主要问题。但是,需要处理大量的数据并维护云上的安全性。在本研究中,我们提出了一个基于云的软件框架(hadoop),利用map-reduce模型帮助我们处理海量数据。为了增加安全性,我们使用Kerberos身份验证协议,它可以帮助我们提高云上的安全级别,并且还用于向用户提供身份验证。通过与现有技术的对比分析,结果表明该技术具有更高的安全性,并提供了用户身份验证。
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
A Metaphoric Investigation on Prediction of Heart Disease using Machine Learning Dynamic Weight Ranking algorithm using R-F score for Efficient Caching VLSI Architecture for Low Cost and Power Reversible Arithmetic Logic Unit based on Reversible Gate Advance Malware Analysis Using Static and Dynamic Methodology Evaluate Performance of student by using Normalized data set, Fuzzy and A-priori Like Algorithm
×
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