EMPPC-an evolutionary model based privacy preserving technique for cloud digital data storage

D. Chandramohan, T. Vengattaraman, D. Rajaguru, R. Baskaran, P. Dhavachelvan
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引用次数: 2

Abstract

This paper spank out the enormity of unknown users hand on web service users' and their data protection level bump up as an issue in cloud users mind. Once hiring a data space in cloud it's the responsibility of both to accustomed the stored information's privacy and preserving it in a secret way. It is noticed by the academicians and researchers oodles and masses of privacy breaches relentlessly observable fact dealt globally. It is one of the hottest research topics. This work targets data privacy and its preservation by proposing an evolutionary approach to safeguard the confidential data stored in the cloud. It also focuses on prominent study of users' privacy need and to preserve data distorted from intermediate digital data thieves.
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emppc——一种基于进化模型的云数字数据存储隐私保护技术
本文揭示了未知用户对web服务用户及其数据保护水平提升的巨大影响,这是云用户心目中的一个问题。一旦在云中租用了一个数据空间,就有责任习惯存储信息的隐私性,并以一种秘密的方式保护它。学者和研究人员注意到,在全球范围内,有大量的隐私泄露事件无情地发生。这是目前最热门的研究课题之一。这项工作针对数据隐私及其保存,提出了一种渐进的方法来保护存储在云中的机密数据。它还重点研究了用户隐私需求和保护中间数字数据窃贼扭曲的数据。
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