云存储中支持属性撤销的多关键词可搜索加密方案

云存储的便捷性和管理高效性使得越来越多的用户选择将数据存放在云端。为支持用户对云端加密数据进行检索，提出云存储中基于属性加密支持属性撤销的多关键词搜索方案。采用线性秘密共享矩阵来表示访问控制结构，实现密文细粒度访问控制，在属性撤销过程中不需要更新密钥，应对用户属性变更的情况，在此基础上构造基于多项式方程的搜索算法支持多关键词搜索，从而提高搜索精度。理论分析和实验结果表明，该方案具有陷门不可伪造性和关键词隐私性，能够保证用户数据的隐私和安全，相比CP-ABE方案，具有较高的存储性能和计算效率，功能性更强。

Multi-Keyword Searchable Encryption Scheme Supporting Attribute Revocation in Cloud Storage

The convenience and efficiency of cloud storage make more and more users choose to store data in cloud.In order to support users to retrieve encrypted data in cloud,a multi keyword search scheme based on attribute encryption supporting attribute revocation is proposed for cloud storage.The scheme uses the linear secret sharing matrix to represent the access control structure,which can achieve fine-grained control for cipher text access.The scheme does not need to update the key in the process of attribute revocation,and can flexibly deal with the change of user attributes.On this basis,a search algorithm that supports multi-keyword search is constructed based on polynomial equation to improve the search accuracy.Theoretical analysis and experimental results show that the proposed scheme provides trapdoor unforgeability and keyword privacy,which can guarantee the privacy and security of user data.Compared with the existing schemes,the proposed scheme has stronger functionality,higher storage performance and computational efficiency.