Research on Semantic-aware Ciphertext Rtrieval in Cloud Environments:A Survey
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 ci-phertext 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 per-spective 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.
万方数据
维普
