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K-Gram Based Fuzzy Keyword Search over Encrypted Cloud Computing

机译:加密云计算中基于K-Gram的模糊关键词搜索

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摘要

With recent significant development in the portable device market, cloud computing is getting more and more utilized. Many sensitive data are stored in cloud central servers. To ensure privacy, these data are usually encrypted before being uploaded—making file searching complicated. Although previous cloud computing searchable encryption schemes allow users to search encrypted data by keywords securely, these techniques only support exact keyword search and will fail if there are some spelling errors or if some morphological variants of words are used. In this paper, we provide the solution for fuzzy keyword search over encrypted cloud data. K-grams is used to produce fuzzy results. For security reasons, we use two separate servers that cannot communicate with each other. Our experiment result shows that our system is effective and scalable to handle large number of encrypted files.
机译:随着便携式设备市场最近的显着发展,云计算正得到越来越多的利用。许多敏感数据存储在云中央服务器中。为了确保隐私,通常在上传之前对这些数据进行加密,从而使文件搜索变得复杂。尽管以前的云计算可搜索加密方案允许用户安全地通过关键字搜索加密的数据,但是这些技术仅支持精确的关键字搜索,并且如果存在某些拼写错误或使用了某些词的词法变体,将会失败。在本文中,我们提供了对加密的云数据进行模糊关键字搜索的解决方案。 K-gram用于产生模糊结果。出于安全原因,我们使用两个无法相互通信的独立服务器。我们的实验结果表明,我们的系统有效且可扩展,可处理大量加密文件。

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