云环境中语义感知密文检索研究综述

doi:10.11896/jsjkx.231000111

Abstract

Abstract: 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,thetraditionalprivacy-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.

Key words: Cloud computing, Privacy protection, Semantic aware, Keyword retrieval, Searchable encryption

CLC Number:

TP391

LIU Yuanlong, DAI Hua, LI Zhangchen, ZHOU Qian, YI Xun, YANG Geng. Research on Semantic-aware Ciphertext Rtrieval in Cloud Environments:A Survey[J].Computer Science, 2024, 51(11): 298-306.

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