An encrypted speech retrieval scheme based on long short-term memory neural network and deep hashing | |
Zhang, Qiu-Yu; Li, Yu-Zhou; Hu, Ying-Jie | |
刊名 | KSII Transactions on Internet and Information Systems |
2020-06-01 | |
卷号 | 14期号:6页码:2612-2633 |
关键词 | Brain Cryptography Data privacy Efficiency Hamming distance Speech Distance algorithm Hashing algorithms High-level features Hyper-chaotic systems Privacy and security Retrieval accuracy Retrieval efficiency Sensitive informations |
ISSN号 | 19767277 |
DOI | 10.3837/tiis.2020.06.016 |
英文摘要 | Due to the explosive growth of multimedia speech data, how to protect the privacy of speech data and how to efficiently retrieve speech data have become a hot spot for researchers in recent years. In this paper, we proposed an encrypted speech retrieval scheme based on long short-term memory (LSTM) neural network and deep hashing. This scheme not only achieves efficient retrieval of massive speech in cloud environment, but also effectively avoids the risk of sensitive information leakage. Firstly, a novel speech encryption algorithm based on 4D quadratic autonomous hyperchaotic system is proposed to realize the privacy and security of speech data in the cloud. Secondly, the integrated LSTM network model and deep hashing algorithm are used to extract high-level features of speech data. It is used to solve the high dimensional and temporality problems of speech data, and increase the retrieval efficiency and retrieval accuracy of the proposed scheme. Finally, the normalized Hamming distance algorithm is used to achieve matching. Compared with the existing algorithms, the proposed scheme has good discrimination and robustness and it has high recall, precision and retrieval efficiency under various content preserving operations. Meanwhile, the proposed speech encryption algorithm has high key space and can effectively resist exhaustive attacks. Copyright © 2020 KSII. |
WOS研究方向 | Computer Science ; Telecommunications |
语种 | 英语 |
出版者 | Korean Society for Internet Information, 4th Floor, Unsan Building,, 646-6 Yeoksam 1-Dong, Gangnam-Gu,, 135-911, Korea, Republic of |
WOS记录号 | WOS:000548364300016 |
内容类型 | 期刊论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/115145] |
专题 | 计算机与通信学院 |
作者单位 | School of Computer and Communication, Lanzhou University of Technology, Lanzhou; 730050, China |
推荐引用方式 GB/T 7714 | Zhang, Qiu-Yu,Li, Yu-Zhou,Hu, Ying-Jie. An encrypted speech retrieval scheme based on long short-term memory neural network and deep hashing[J]. KSII Transactions on Internet and Information Systems,2020,14(6):2612-2633. |
APA | Zhang, Qiu-Yu,Li, Yu-Zhou,&Hu, Ying-Jie.(2020).An encrypted speech retrieval scheme based on long short-term memory neural network and deep hashing.KSII Transactions on Internet and Information Systems,14(6),2612-2633. |
MLA | Zhang, Qiu-Yu,et al."An encrypted speech retrieval scheme based on long short-term memory neural network and deep hashing".KSII Transactions on Internet and Information Systems 14.6(2020):2612-2633. |
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