Cloud computing security analysis based on RC6, AES and RSA algorithms in user-cloud environment

Dheresh Soni, Vipin Tiwari, Bhupinder Kaur, M. Kumar
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引用次数: 3

Abstract

In this paper a cloud computing security analysis based on RC6, AES and RSA algorithms in client-cloud environment has proposed. This framework is divided in 2 phases. Data pre-processing is first phase applied based on the weight assigned. Based on the data values obtainable from the uploaded textual file in cloud environment weight assigned is calculated. Now in second phase fuzzy c-means has been applied in cloud on the uploaded data for clustering. First the score in terms of aggregated assessment ranking have been calculated based on simple additive weighting (SAW). Then the decision performances have been arranged. Different random sets of data values have been obtained and also the aggregated values have been obtained. These aggregated sets will determine the security operation and the risk associated with the data uploaded with the cloud environment. The maximum key unpredictability and validation shows the privileged security in terms of the elevated threat opportunity. Proposed automated FCM based clustered and multi layer security standard algorithms have potential to deal with multifaceted security.
用户云环境下基于RC6、AES和RSA算法的云计算安全性分析
本文提出了一种基于RC6、AES和RSA算法的客户端-云环境下的云计算安全分析方法。该框架分为两个阶段。数据预处理是基于权重分配的第一阶段。根据云环境下上传文本文件的数据值计算分配的权重。第二阶段将模糊c-means应用于云上对上传的数据进行聚类。首先采用简单相加加权法计算综合评价排名得分;然后安排决策表演。得到了不同的随机数据值集,也得到了聚合值。这些聚合集将确定安全操作以及与通过云环境上传的数据相关的风险。最大密钥不可预测性和有效性显示了在威胁机会增加方面的特权安全性。提出的基于自动FCM的聚类和多层安全标准算法具有处理多方面安全的潜力。
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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