期刊文献+

云计算中基于Tent映射的混沌混合加密算法研究 被引量:1

Research on Chaotic Hybrid Encryption Algorithm Based on Tent Mapping in Cloud Computing
下载PDF
导出
摘要 本文介绍了云计算特点及Hadoop分布式计算框架,对云计算中引入混沌理论的混合加密算法进行研究。首先分析了传统加密算法DES和RSA,对其二者在云计算中的缺陷进行了阐述,通过引入混沌理论提出了一种混沌混合加密算法(CDR)。该算法通过Tent映射产生随机混沌序列,转换为初始密钥,利用混沌特性对密钥进行优化,然后对DES及RSA算法进行混合。最后在Hadoop平台上进行实验,搭建集群模拟云平台,通过MapReduce过程执行CDR算法对数据进行加密和解密实验,通过实验分析证明CDR算法从安全性和效率上优于DES和RSA算法,更加适用于云计算环境。 This paper introduces the characteristics of cloud computing and the Hadoop distributed computing framework, and studies the hybrid encryption algorithm which introduces chaos theory into the cloud computing. Firstly, the traditional encryption algorithm DES and RSA are analyzed, and the defects of the two in the cloud computing are described. A chaotic hybrid encryption algorithm (CDR) is proposed by introducing the chaos theory. The algorithm generates random chaotic sequences by Tent mapping, and converts it to the initial key, and then mixed with DES and RSA algorithm to encrypt and decrypt the data, which effectively improves the efficiency and security of the algorithm. Finally, experiments are conducted on the Hadoop platform, in which a cluster simulation cloud environment is built, through horizontal comparison of the experimental results with DES and RSA algorithm, the CDR algorithm is proved to be more suitable for data encryption in the cloud computing environment.
作者 战非 张少茹
出处 《计算技术与自动化》 2017年第2期113-117,共5页 Computing Technology and Automation
基金 国家自然科学基金资助项目(71373203)
关键词 云计算 混沌理论 Hadoop平台DES算法 RSA算法 cloud computing chaos theory Hadoop DES RSA
  • 相关文献

参考文献9

二级参考文献63

  • 1VARIA J. Cloud architectures - Amazon Web services [ EB/OL]. [ 2009 - 03 - 01 ]. http://acmbangalore, org/events/monthly-talk/ may-2008 --cloud-architectures---amazon-web-services. html.
  • 2BRYANT R E. Data-intensive supercomputing: The case for DISC, CMU-CS-07-128 [ R]. Pittsburgh, PA, USA: Carnegie Mellon University, Department of Computer Science, 2007.
  • 3SZALAY A S, KUNSZT P, THAKAR A, et al. Designing and mining multi-terabyte astronomy archives: The sloan digital sky survey [ C]//Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data. New York: ACM Press, 2000:451 - 462.
  • 4BARROSO L A, DEAN J, HOLZLE U. Web search for a planet: The Google cluster architecture [ J]. IEEE Micro, 2003, 23(2) : 22 -28.
  • 5GILES J. Google tops translation ranking [ EB/OL]. (2006 - 11 - 06) [ 2009 - 03 - 06 ]. http://www, nature, com/news/2006/ 061106/full/news061106-6. html.
  • 6维基百科.Cloud computing [ EB/OL]. [ 2009 - 03 - 10]. http://en. wikipedia, org/wiki/Cloud_computing.
  • 7中国云计算网.什么是云计算?[EB/OL].(2008-05-14)[2009-02-27].http://www.cloudcomputing-china.cn/Article/ShowArticle.asp?ArticleID=1.
  • 8VAQUERO L M, RODERO-MERINO L, CACERES J, et al. A break in the clouds: Towards a cloud definition [ J]. ACM SIGCOMM Computer Communication Review, 2009, 39(1): 50-55.
  • 9WEISS A. Computing in the clouds [ J]. ACM Networker, 2007, 11(4): 16 -25.
  • 10GRIFFITHS A, METHERALL G. Cluster intereonnection networks [ EB/OL]. (2000 -09 -01)[2009 -03 -03]. http://www, gridbus. org/-raj/csc433/ClusterNets, pdf.

共引文献1536

同被引文献7

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部