A Secure Multi-Keyword Fuzzy Search with Polynomial Function for Encrypted Data in Cloud Computing

I. Liu, Yu-Hsin Lin, Jung-Shian Li, W. Kuo, Chuan-Gang Liu
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引用次数: 1

Abstract

In recent years, cloud computing is a trend in the networking industry. Storing data in the cloud can alleviate the storage overhead and reduce the expense of both hardware and software for the individuals. However, until now, the users still cannot trust the cloud server completely, and hence the data is usually encrypted before them being sent to the cloud to ensure the data security. However, most of the keyword search approaches in cloud only support the exact keyword search and it is unpractical in reality. Further, keyword searching for encrypted data is also not easy. With the growth of the dataset in the cloud, for the users, to search the specific data by keyword search method becomes an important issue now. Compared to previous work, this paper proposes an efficient multi-keyword search with polynomial functions for encrypted data. Furthermore, it is also capable of searching the fuzzy word.
云计算中加密数据的多项式函数安全多关键字模糊搜索
近年来,云计算是网络行业的一个趋势。将数据存储在云中可以减轻存储开销,并减少个人的硬件和软件费用。但是,到目前为止,用户仍然不能完全信任云服务器,因此在将数据发送到云之前,通常会对数据进行加密,以确保数据的安全性。然而,云中的大多数关键字搜索方法只支持精确的关键字搜索,在现实中并不实用。此外,搜索加密数据的关键字也不容易。随着云数据集的增长,对于用户来说,通过关键词搜索的方法来搜索特定的数据成为一个重要的问题。与以往的工作相比,本文提出了一种基于多项式函数的高效多关键字搜索算法。此外,它还具有搜索模糊词的功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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