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Aiding Effective Encrypted Document Manipulation Incorporated with Document Categorization Technique in Cloud

机译:结合云中的文档分类技术,协助有效的加密文档处理

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Cloud computing involves storage as well as usage of computer resources and services online. It has emerged as a promising area for data outsourcing. Since the users data are stored in servers controlled by cloud service provider there are always concerns about the security of the stored data. The data can be encrypted to ensure its security but it will increase the complexity of the data access process. The presence of large amount of data in the cloud necessitates an efficient method for data access. An efficient keyword based search on the encrypted cloud data is proposed here which provides marked improvement over the traditional boolean search approach used in cloud environment. It uses the latest informational retrieval methods for the processing of the documents from the cloud. The homomorphic encryption technique is used for the building of a secure index which has the key role in the search process. The vector space model is employed for the representation of the text document as vector. Document categorization technique is incorporated for the easy maintenance and retrieval of the data from the cloud. It handles multiple data owners and users with a facility to store and retrieve multiple data files. The approach also makes sure that the processing on the user side is minimized while updating the existing document set.
机译:云计算涉及在线存储以及计算机资源和服务的使用。它已成为数据外包的有前途的领域。由于用户数据存储在由云服务提供商控制的服务器中,因此始终担心存储数据的安全性。可以对数据进行加密以确保其安全性,但会增加数据访问过程的复杂性。云中大量数据的存在需要一种有效的数据访问方法。在此提出了一种基于有效关键字的加密云数据搜索,该搜索相对于云环境中使用的传统布尔搜索方法提供了显着改进。它使用最新的信息检索方法来处理来自云的文档。同态加密技术用于构建安全索引,该索引在搜索过程中具有关键作用。向量空间模型用于将文本文档表示为向量。包含文档分类技术,可轻松维护和从云中检索数据。它可以处理多个数据所有者和用户,并具有存储和检索多个数据文件的功能。该方法还确保在更新现有文档集的同时,最小化了用户端的处理。

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