云环境中语义感知密文检索研究综述

Research on Semantic-aware Ciphertext Rtrieval in Cloud Environments:A Survey

随着云计算、大数据技术的不断发展,数据拥有者愈发倾向于将数据外包给云服务器。为了保证这些数据的安全,许多在云环境下进行的隐私保护密文检索技术被不断提出。但传统的隐私保护检索方案通常没有考虑关键词和文档之间的语义联系。为了解决这个问题,近年来,针对云环境的语义感知密文检索方案成为了研究的热点。针对基于云环境的语义感知密文检索问题,首先展示了现有研究工作主要采用的系统模型、安全模型和检索框架;接着按提取语义的核心技术对现有的语义感知密文检索方案进行分类并分别作研究和综述,阐述其优点与不足;最后,对现有研究工作进行总结,并对该领域未来的研究方向进行探讨。

With the continuous development of cloud computing and big data technology,data owners are increasingly inclined to outsource their data to cloud servers.In order to ensure the security of these data,many privacy-preserving ciphertext retrieval techniques in cloud environments have been proposed.However,the traditional privacy-preserving search schemes usually do not consider the semantic relationship between keywords and documents.To address this problem,in recent years,semantic-aware ciphertext retrieval schemes for cloud environments have become a research hotspot..This paper presents the existing research work on semantic-aware ciphertext retrieval in cloud environments,showcasing the system models,security models,and retrieval frameworks mainly adopted.It categorizes and summarizes existing semantic-aware searchable encryption schemes from the perspective of core technology for semantic expansion,illustrating their advantages and limitations.Finally,it concludes the existing research work and discusses future research directions in this field.