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SSEIM: An Efficient Search Scheme over Encrypted Data with Indexing on Mobile Cloud

机译:SSEIM:在移动云上建立索引的加密数据高效搜索方案

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Mobile Cloud Computing (MCC) is a smart way to reduce IT cost, provide services anywhere, and any time. Encrypting the outsourced data is one way of enhancing the privacy from the owner point of view. Mobile devices consumes more resources when workload is heavy. In order to reduce, computation, communication and searching time of related files based on keyword query “An Efficient Search Scheme over Encrypted Data with Indexing on Mobile Cloud” (SSEIM) is proposed. The SSEIM uses the keyword-based search that includes Order Preserving Encryption (OPE) to order the encrypted data and makes use of indexing the record to search the related files. Thus, the proposed scheme is more efficient with respect to retrieval time as compared to the existing scheme TEES (Traffic and Energy saving Encrypted Search).
机译:移动云计算(MCC)是一种降低IT成本,随时随地提供服务的明智方法。从所有者的角度来看,对外包数据进行加密是一种增强隐私性的方法。当工作量很大时,移动设备会消耗更多资源。为了减少相关文件的计算,通信和搜索时间,提出了基于关键词查询的“基于移动云索引的加密数据高效搜索方案”(SSEIM)。 SSEIM使用基于关键字的搜索(包括顺序保留加密(OPE))对加密的数据进行排序,并利用对记录进行索引来搜索相关文件。因此,与现有方案TEES(交通和节能加密搜索)相比,所提出的方案在检索时间方面更为有效。

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