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- Title
基于混合云架构的深度语义密文检索.
- Authors
李 剑; 矫 健
- Abstract
Aiming at the traditional ciphertext retrieval scheme in cloud environment, which generates file vectors and retrieval vectors based on statistical model, and does not consider the deep-seated semantic information of files and requests, this paper proposes a deep-seated semantic ciphertext retrieval model based on hybrid Cloud Architecture. The vector generation model is constructed through the private cloud federated learning neural network model, and the ciphertext data is stored through the public cloud. In addition, this paper proposes a secret inverted index table to store file vectors, so as to improve the efficiency of retrieval without ensuring that the retrieval information is not leaked in the retrieval process of public cloud. The analysis and experiments on real data sets show that this scheme is better than the current ciphertext retrieval schemes of the same type in terms of security and search efficiency.
- Subjects
ARTIFICIAL neural networks; HYBRID cloud computing; INFORMATION retrieval; STATISTICAL models
- Publication
Application Research of Computers / Jisuanji Yingyong Yanjiu, 2022, Vol 39, Issue 10, p3146
- ISSN
1001-3695
- Publication type
Article
- DOI
10.19734/j.issn.1001-3695.2022.02.0101