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Privacy Preserving and Loss Data Retrieval in Cloud Computing Using Bucket Algorithm

机译:桶算法云计算中的隐私保留和损失数据检索

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Cloud data is maintained, stored, and managed from all over the global network. The suggestions about the information will not be given by the cloud provider. Encryption-based technology is used to protect the schemes like privacy. To prevent leakage of data from the cloud, there are many different types of privacy preserving methods. In order to overcome the drawback, we propose a framework based on fog computing known as three-layer storage. The framework that is proposed takes total advantage of protecting the privacy of data and cloud storage. So, we will be using the Hash-Solomon algorithm code, which is designed for partition of data into equal and separate parts. If any part of the data is lost, we will remain with other parts of the data which is insufficient. Here, we will be using algorithms based on bucket concept in this framework to secure the information of the data and then provide the security and efficiency in our scheme. After that, based on the computational intelligence, this algorithm can analyze the distribution parts stored in cloud server, fog server, and local device. Software as a service on a hosting environment, client releases their application which can be accessed through network by application users from various clients. Except for limited user-specific application configuration settings, the client cannot manage or control the cloud structure and data.
机译:从全局网络的所有人维护,存储和管理云数据。云提供商不会给出关于信息的建议。基于加密的技术用于保护如隐私等方案。为防止从云中泄露数据,有许多不同类型的隐私保存方法。为了克服缺点,我们提出了一种基于雾计算的框架,称为三层存储。建议的框架采取了保护数据和云存储隐私的完全优势。因此,我们将使用Hash-Solomon算法代码,该算法代码被设计用于数据分区为相等和独立的部件。如果数据的任何部分丢失,我们将留在不足的数据的其他部分。在这里,我们将在本框架中使用基于桶概念的算法来保护数据的信息,然后提供我们方案中的安全性和效率。之后,基于计算智能,该算法可以分析存储在云服务器,雾服务器和本地设备中的分配部件。软件作为托管环境的服务,客户端将通过来自各种客户端的应用程序用户通过网络访问其应用程序。除了有限的用户特定应用程序配置设置,客户端无法管理或控制云结构和数据。

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