Semantic and secure search over encrypted outsourcing cloud based on BERT  

作　　者：Zhangjie FU Yan WANG Xingming SUN Xiaosong ZHANG 

机构地区：[1]Engineering Research Center of Digital Forensice,Ministry of Education,Nanjing University of Information Science and Technology,Nanjing 210044,China [2]School of Computer and Software,Nanjing University of Information Science and Technology,Nanjing 210044,China [3]School of Computer Science and Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China

出　　处：《Frontiers of Computer Science》2022年第2期152-159,共8页中国计算机科学前沿（英文版）

基　　金：This work was supported by the National Natural Science Foundation of China(Grant Nos.U1836110 and U1836208);by the Jiangsu Basic Research Programs-Natural Science Foundation under grant numbers BK20200039.

摘　　要：Searchable encryption provides an effective way for data security and privacy in cloud storage.Users can retrieve encrypted data in the cloud under the premise of protecting their own data security and privacy.However,most of the current content-based retrieval schemes do not contain enough semantic information of the article and cannot fully reflect the semantic information of the text.In this paper,we propose two secure and semantic retrieval schemes based on BERT(bidirectional encoder representations from transformers)named SSRB-1,SSRB-2.By training the documents with BERT,the keyword vector is generated to contain more semantic information of the documents,which improves the accuracy of retrieval and makes the retrieval result more consistent with the user’s intention.Finally,through testing on real data sets,it is shown that both of our solutions are feasible and effective.

关 键 词：cloud computing semantic search BERT model searchable encryption 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]