Encrypted Data Search Method Based on Keyword Semantic Relation Extension

The efficient retrieval of ciphertext in the cloud storage environment is a hot topic in current academic research. However, most of the existing ciphertext retrieval technologies are based on the complete matching of user query keywords, which leads to the neglect of some documents containing semantic association words. Due to the lack of general users' knowledge of relevant fields, the submitted keywords are limited, and they can not fully and accurately respond to the actual query requests of users, which leads to the problem of incomplete and inaccurate search results. To solve this problem, this paper proposes an encrypted data search method based on the semantic relationship expansion of keywords, which can effectively improve the retrieval recall rate and make the retrieval results more consistent with the user's query intention. The experimental results show that our method can return completely matching files related document and query keywords

Cloud storage, Semantic relationships extend, Encrypted data search,

Junfeng Lv, Yang Liu, Encrypted Data Search Method Based on Keyword Semantic Relation Extension. 2019 Scientific Conference on Network, Power Systems and Computing (NPSC 2019), 2019: 180-183. DOI: https://doi.org/10.33969/EECS.V3.041.