基于用户偏好的云端加密数据的多关键模糊词检索

摘要

With the growing development of cloud computing, the data owner outsource the data files to the cloud server, then the user can get the ideal results by searching algorithms. The outsourced data usually contain sensitive privacy information, so the data files need to be encrypted before outsourced to the cloud server. However, this will limit the utilization of the data. So, in this paper, a searching algorithm is proposed which supports multi-keyword fuzzy search with fine-grained access control based on user preference over encrypted cloud data. Specially, we considered the user preference and the user attributes to the algorithm. The experiment has shown that the algorithm can get more and better corresponding files based on IEEE INFOCOM publications.%随着云计算技术的发展，数据拥有者可以把数据集外包给云服务商，然后用户可以通过搜索算法得到他们想要的结果。上传给云服务商的数据通常会包含敏感信息，所以用户需要先把数据集加密再上传给云服务商。然而，这就限制了数据的利用率。所以，在这篇文章提出了一个搜索算法，它是基于云端加密数据的多关键模糊词的检索，特别的，在这个算法中，考虑了用户的偏好和用户属性的问题。实验验证基于 IEEE 的文章，结果证明这篇论文的算法可以获得更多，更加符合用户偏好的结果。