基于云计算的高效AES安全模型与安全性能权衡分析

Gaganpreet Kaur, B. N, Murugesan S, Pradeepa K, S. G., Vinoth Kumar M
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引用次数: 0

摘要

云计算是信息技术的一大进步。它允许用户在远程存储位置存储大量数据,并根据按次付费模式,通过个人电脑上的互联网连接访问文件、软件和服务。最终用户主要将云用于在云上存储信息、共享文件和数据备份。事实上,根据flex时代2021年云状态报告,大约90%的企业预计云用户将因COVID-19而扩大。由于存储未加密的云计算的性质,数据安全和隐私是最基本的问题。尽管许多加密标准被用于保证关键信息的安全,但单一的加密无法应对快速计算系统。为了规避这些威胁,本文在移植带有散列值的云之前使用三重加密方法来提供数据完整性、机密性和不可否认性。该解决方案旨在为整个数据生命周期(例如传输中的数据和存储中的数据)提供完整的数据安全性。随后,改进AES实现了比AES更好的优化。此外,将所提出的方法与现有方法进行安全性和性能分析,有助于找到最佳的安全性性能权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Security model with efficient AES and Security Performance Trade-off Analysis of Cryptography Systems with Cloud Computing
Cloud computing is awesome progress the information technology. It allows users to store a large amount of data on a remote storage location and access files, software, and services through their internet connection on the personal computer based on the pay-per-use model. End-users mostly use the cloud for storing information on the cloud, sharing files, and data backup. In fact, according to the flex era 2021 state of cloud report, roughly 90 % of enterprises anticipate cloud users have been expanded because of COVID-19. Data security and privacy are basic concerns because of the nature of storing unencrypted cloud computing. Though many encryption standards are being used to make crucial information safe, single encryption is not able to cope with fast computing systems. To circumvent the threats, this paper uses a triple encryption approach before porting on a cloud with a hash value to deliver the data integrity, confidentiality, and non-repudiation. This solution is designed to offer complete data security to the data throughout the data life cycle, such as to data in transit, and data in storage. Subsequently, Improved AES achieves better optimization over AES. Moreover, the security and performance analysis of the proposed approach with the existing approaches assist to find the best security performance trade-off.
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