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Efficient Data Protection Scheme in Hybrid Clouds

机译:混合云中的高效数据保护方案

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The amount of digital data has rapidly increased at a rate of double per year since 2009. Adopting cloud computing storage services will consequently be an alternative approach to gain cost flexibility. Data encryption and access control are common data protection methods in cloud storages. However, traditional full data encryption in clouds can ensure privacy preserving but cause the low analysis efficiency problem. The emerging requirements of data analysis in clouds are balanced between data security and data analysis capacity. An efficient data protection scheme in hybrid clouds is proposed to improve data protection efficiency, rise up data availability and decrease the maintenance cost of cloud services. Data classification and selective data protection mechanisms are two key phases in this paper. According to the functional analysis and comparison results, The proposed scheme is therefore more suitable for efficiency data protection in hybrid clouds than traditional methods.
机译:自2009年以来,数字数据量以每年两倍的速度快速增长。因此,采用云计算存储服务将是获得成本灵活性的另一种方法。数据加密和访问控制是云存储中常见的数据保护方法。但是,云中传统的完整数据加密可以确保隐私保护,但会导致分析效率低下的问题。云中对数据分析的新要求在数据安全性和数据分析能力之间取得平衡。提出了一种有效的混合云数据保护方案,以提高数据保护效率,提高数据可用性并降低云服务的维护成本。数据分类和选择性数据保护机制是本文的两个关键阶段。根据功能分析和比较结果,该方案比传统方法更适合于混合云中的效率数据保护。

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