Aiming at the problem of confidentiality management of digital archives on the cloud, this paper presents an effective solution. The basic idea is to deploy a local server between the cloud and each client of an archive system to run a confidentiality management model of digital archives on the cloud, which includes an archive release model, and an archive search model. (1) The archive release model is used to strictly encrypt each archive file and archive data released by an administrator and generate feature data for the archive data, and then submit them to the cloud for storage to ensure the security of archive-sensitive data. (2) The archive search model is used to transform each query operation defined on the archive data submitted by a searcher, so that it can be correctly executed on feature data on the cloud, to ensure the accuracy and efficiency of archive search. Finally, both theoretical analysis and experimental evaluation demonstrate the good performance of the proposed solution. The result shows that compared with others, our solution has better overall performance in terms of confidentiality, accuracy, efficiency and availability, which can improve the security of archive-sensitive data on the untrusted cloud without compromising the performance of an existing archive management system.

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研究了一种基于结构化声明的视频查询语言SVQL的语言分析模型。以巴克斯范式、逻辑代数等工具形式化描述了SVQL的文法规则和语义规则, 据此构建了多层次SVQL语法分析模型。基于该语法分析模型, 结合编译原理相关理论知识, 设计实现了SVQL语法分析工具。实验评估语法分析模型的有效性, 该模型能分析出SVQL查询语句所包含的语法错误和语义错误, 并给出准确的信息。