Research on Secure Encryption and Transmission of Disaster Backup of Massive Data Based on Cloud Computing

Pub Date : 2022-11-10 DOI:10.1142/s0218539322500085
Jinhua Ha, Xu Chen
{"title":"Research on Secure Encryption and Transmission of Disaster Backup of Massive Data Based on Cloud Computing","authors":"Jinhua Ha, Xu Chen","doi":"10.1142/s0218539322500085","DOIUrl":null,"url":null,"abstract":"In order to ensure the protection of important data in the face of natural and man-made disasters in data centers in cloud computing services, sufficient backups of the data are required. This paper briefly introduced the security encryption measures for disaster backup of data under cloud computing. The transmission performance during disaster backup was improved by the intelligent ant colony algorithm. Simulation experiments were performed to compare the encryption performance of two encryption algorithms, the Rivest, Shamir, and Adleman (RSA) algorithm and the Advanced Encryption Standard (AES) algorithm, in disaster backup, and the transmission performance of the intelligent ant colony algorithm and the maximum network flow algorithm. The results showed that the asymmetric encryption algorithm and the RSA algorithm had better encryption performance than the AES algorithm in terms of disaster backup; with the increase of backup data volume, the transmission performance of both route assignment algorithms decreased, but the intelligent ant colony algorithm always outperformed the maximum network flow algorithm.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s0218539322500085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In order to ensure the protection of important data in the face of natural and man-made disasters in data centers in cloud computing services, sufficient backups of the data are required. This paper briefly introduced the security encryption measures for disaster backup of data under cloud computing. The transmission performance during disaster backup was improved by the intelligent ant colony algorithm. Simulation experiments were performed to compare the encryption performance of two encryption algorithms, the Rivest, Shamir, and Adleman (RSA) algorithm and the Advanced Encryption Standard (AES) algorithm, in disaster backup, and the transmission performance of the intelligent ant colony algorithm and the maximum network flow algorithm. The results showed that the asymmetric encryption algorithm and the RSA algorithm had better encryption performance than the AES algorithm in terms of disaster backup; with the increase of backup data volume, the transmission performance of both route assignment algorithms decreased, but the intelligent ant colony algorithm always outperformed the maximum network flow algorithm.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
基于云计算的海量数据灾难备份安全加密与传输研究
为了确保云计算服务中数据中心的重要数据在面对自然灾害和人为灾害时能够得到保护,需要对数据进行足够的备份。简要介绍了云计算下数据灾难备份的安全加密措施。采用智能蚁群算法提高了灾难备份时的传输性能。通过仿真实验比较了Rivest, Shamir, and Adleman (RSA)算法和Advanced encryption Standard (AES)算法两种加密算法在灾难备份中的加密性能,以及智能蚁群算法和最大网络流量算法的传输性能。结果表明:在灾难备份方面,非对称加密算法和RSA算法的加密性能优于AES算法;随着备份数据量的增加,两种路由分配算法的传输性能都有所下降,但智能蚁群算法始终优于最大网络流量算法。
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
×
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