Encrypted Speech Retrieval Scheme Based on Multiuser Searchable Encryption in Cloud Storage | |
Zhang, Qiuyu1; Fu, Minrui1; Huang, Yibo2; Zhao, Zhenyu1 | |
刊名 | Security and Communication Networks |
2022 | |
卷号 | 2022 |
关键词 | Access control Cryptography Digital storage Long short-term memory Semantics Ciphertext-policy attribute-based encryptions Cloud storages Encrypted speech Memory network Multiusers Privacy protection Searchable encryptions Speech data Speech encryption Speech retrieval |
ISSN号 | 1939-0114 |
DOI | 10.1155/2022/9045259 |
英文摘要 | In order to solve the problem of multiuser security sharing and privacy protection of the speech data in cloud storage and realize efficient encrypted speech retrieval, an encrypted speech retrieval scheme based on multiuser searchable encryption was proposed. Firstly, the ciphertext-policy attribute-based encryption (CP-ABE) and searchable encryption (SE) are combined to support a multiuser searchable speech encryption scheme, which achieves the encryption and fine-grained access control of the speech data. Secondly, the Mel frequency cepstral coefficient (MFCC) feature of the original speech that is used as the input of the long- and short-term memory network (LSTM) is extracted to perform the deep semantic feature extraction as the speech keywords. Finally, the speech keywords are encrypted to generate a secure index, bound together with the encrypted speech, and then stored in the cloud. During the user retrieving, the keywords of query speech are extracted by utilizing the trained LSTM to generate the search trapdoor of the user and then uploaded to the cloud server, and the Euclidean distance is used for matching the security index with the search trapdoor. In addition, a proxy server is introduced to execute the partial ciphertext decryption operations to reduce computation overhead and storage space. The theoretical analysis and experimental results show that the proposed scheme has higher security and retrieval accuracy and can realize the secure storage of the massive speech data and multiuser data sharing. © 2022 Qiuyu Zhang et al. |
WOS研究方向 | Computer Science ; Telecommunications |
语种 | 英语 |
出版者 | Hindawi Limited |
WOS记录号 | WOS:000815064400006 |
内容类型 | 期刊论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/158421] |
专题 | 计算机与通信学院 |
作者单位 | 1.School of Computer and Communication, Lanzhou University of Technology, Lanzhou; 730050, China; 2.College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou; 730070, China |
推荐引用方式 GB/T 7714 | Zhang, Qiuyu,Fu, Minrui,Huang, Yibo,et al. Encrypted Speech Retrieval Scheme Based on Multiuser Searchable Encryption in Cloud Storage[J]. Security and Communication Networks,2022,2022. |
APA | Zhang, Qiuyu,Fu, Minrui,Huang, Yibo,&Zhao, Zhenyu.(2022).Encrypted Speech Retrieval Scheme Based on Multiuser Searchable Encryption in Cloud Storage.Security and Communication Networks,2022. |
MLA | Zhang, Qiuyu,et al."Encrypted Speech Retrieval Scheme Based on Multiuser Searchable Encryption in Cloud Storage".Security and Communication Networks 2022(2022). |
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