Elliptic Curve Cryptography Based Homomorphic End-to-End Encryption Security in Cloud Computing

Q4 Mathematics
Dr. G. N. Kodanda Ramaiah, Savita A. Harkude
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引用次数: 0

Abstract

Cloud computing is turning into the principal computing model in the future because of its benefits, for example, high asset use rate and save significant expense of execution. The existing algorithms for security issues in cloud computing are basically advanced version of cryptography. Mainly cloud computing algorithm are concerning about data security and privacy preserving of user. To protect the privacy of data owner and data user the cryptographic data are shared and stored in cloud storage by applying HE-homomorphic encryption. According to environment of HE, this paper proposed a new hybrid algorithm by combining the two algorithms of cryptography i.e., AES and ECC with the concept of splitting algorithm. By the implementation of this hybrid algorithm, we will split any file into binary version and then after processing the cryptography technique. This hybrid algorithm provided higher protection against attacks over cloud storage and data sharing.
基于椭圆曲线密码的云计算同态端到端加密安全性
云计算由于其高资产使用率和节省大量执行费用等优点,正在成为未来的主要计算模式。目前针对云计算安全问题的算法基本上都是密码学的高级版本。云计算算法主要关注用户的数据安全和隐私保护。为了保护数据所有者和数据用户的隐私,采用he同态加密将加密数据共享并存储在云存储中。本文根据HE环境,结合AES和ECC两种密码学算法,采用分割算法的概念,提出了一种新的混合算法。通过这种混合算法的实现,我们将任何文件拆分为二进制版本,然后经过加密技术的处理。这种混合算法对云存储和数据共享的攻击提供了更高的保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Philippine Statistician
Philippine Statistician Mathematics-Statistics and Probability
CiteScore
0.50
自引率
0.00%
发文量
92
期刊介绍: The Journal aims to provide a media for the dissemination of research by statisticians and researchers using statistical method in resolving their research problems. While a broad spectrum of topics will be entertained, those with original contribution to the statistical science or those that illustrates novel applications of statistics in solving real-life problems will be prioritized. The scope includes, but is not limited to the following topics:  Official Statistics  Computational Statistics  Simulation Studies  Mathematical Statistics  Survey Sampling  Statistics Education  Time Series Analysis  Biostatistics  Nonparametric Methods  Experimental Designs and Analysis  Econometric Theory and Applications  Other Applications
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