Searchable encryption over encrypted speech retrieval scheme in cloud storage

doi:10.1016/j.jisa.2023.103542

IR > 计算机与通信学院

	Searchable encryption over encrypted speech retrieval scheme in cloud storage
	Zhang, Qiuyu1 ; Fu, Minrui 1; Zhao, Zhenyu 1; Huang, Yibo 2
	2023-08
发表期刊	Journal of Information Security and Applications
ISSN	2214-2134
卷号	76
摘要	Aiming at the privacy and security issues of sensitive speech data in cloud storage, and how to achieve efficient retrieval with privacy-preserving for encrypted speech data in cloud storage, a searchable encryption over encrypted speech retrieval scheme in cloud storage was proposed. Firstly, the data owner encrypts the original speech data adopting symmetric encryption algorithm Lorenz chaotic mapping. Secondly, the encrypted speech data is uploaded to the cloud server for storage, and meanwhile the Mel frequency cepstrum coefficient (MFCC) features of original speech are extracted as the input of the convolutional neural network (CNN) to execute the deep semantic feature extraction, which is taken as the speech keywords. Finally, the extracted speech keywords are encrypted and stored in the cloud. When the authorized user sends a retrieval request, the trained CNN is utilized to extract the keywords of the speech to be retrieved, and the search trapdoor is generated and sent to the cloud server. In the process of retrieval, the Euclidean distance is used to match the encrypted keywords with the search trapdoor. The theoretical analysis and experimental results show that the proposed scheme has higher security and retrieval accuracy, and can be suitable for the encrypted storage of speech data and efficient secure retrieval. © 2023 Elsevier Ltd
关键词	Convolutional neural networks Mapping Privacy-preserving techniques Semantics Sensitive data Speech recognition Chaotic mapping Cloud servers Cloud storages Convolutional neural network Encrypted speech Encrypted speech retrieval Lorenz chaotic mapping Searchable encryptions Speech data Speech retrieval
DOI	10.1016/j.jisa.2023.103542
收录类别	EI
语种	英语
出版者	Elsevier Ltd
EI入藏号	20232514257280
EI主题词	Cloud storage
EI分类号	405.3 Surveying ; 716 Telecommunication ; Radar, Radio and Television ; 718 Telephone Systems and Related Technologies ; Line Communications ; 722.1 Data Storage, Equipment and Techniques ; 723.2 Data Processing and Image Processing ; 751.5 Speech
原始文献类型	Journal article (JA)
EISSN	2214-2126
引用统计	无
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/170223
专题	计算机与通信学院
通讯作者	Zhang, Qiuyu
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
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Zhang, Qiuyu,Fu, Minrui,Zhao, Zhenyu,et al. Searchable encryption over encrypted speech retrieval scheme in cloud storage[J]. Journal of Information Security and Applications,2023,76.
APA	Zhang, Qiuyu,Fu, Minrui,Zhao, Zhenyu,&Huang, Yibo.(2023).Searchable encryption over encrypted speech retrieval scheme in cloud storage.Journal of Information Security and Applications,76.
MLA	Zhang, Qiuyu,et al."Searchable encryption over encrypted speech retrieval scheme in cloud storage".Journal of Information Security and Applications 76(2023).