论文标题
基于加密搜索的基于出处的分类策略
Provenance-based Classification Policy based on Encrypted Search
论文作者
论文摘要
作为云数据的一种重要类型，数字出处正在引起人们对改善系统性能的越来越多的关注。当前，曾采用出处来提供有关访问控制和估计数据质量的提示。但是，出处本身也可能是敏感信息。因此，可能会加密并存储在云中。在本文中，我们提供了一种机制来通过从其加密来源中搜索特定的关键字来对云文档进行分类，并证明我们的方案可以实现语义安全性。在提出的技术的应用方面，考虑到文件被分类为单独存储在云中，以促进对文件的法规和安全保护，因此分类策略可以使用出处作为条件来确定文档类别。例如，最简单的示例政策也是如此：对文档进行了两次审查，可以归类为“公共访问”，可以由公众访问。
As an important type of cloud data, digital provenance is arousing increasing attention on improving system performance. Currently, provenance has been employed to provide cues regarding access control and to estimate data quality. However, provenance itself might also be sensitive information. Therefore, provenance might be encrypted and stored in the Cloud. In this paper, we provide a mechanism to classify cloud documents by searching specific keywords from their encrypted provenance, and we prove our scheme achieves semantic security. In term of application of the proposed techniques, considering that files are classified to store separately in the cloud, in order to facilitate the regulation and security protection for the files, the classification policies can use provenance as conditions to determine the category of a document. Such as the easiest sample policy goes like: the documents have been reviewed twice can be classified as "public accessible", which can be accessed by the public.
