Verifiable speech retrieval algorithm based on KNN secure hashing

doi:10.1007/s11042-022-13387-w

	Verifiable speech retrieval algorithm based on KNN secure hashing
	An, Li 1; Huang, Yi-bo 1; Zhang, Qiu-yu 2
刊名	Multimedia Tools and Applications
	2022
关键词	Biometrics Cryptography Efficiency Learning algorithms Speech communication Speech transmission Biometric template Compressed-Sensing Encryption algorithms Hyperchaotic Hyperchaotic lorenz compressed sensing encryption algorithm KNN secure hash Secure hash Security Speech retrieval Verifiable speech retrieval
ISSN号	1380-7501
DOI	10.1007/s11042-022-13387-w
英文摘要	With the rapid development of mobile Internet, the dimension of speech data is too high and the space is complex. The existing speech retrieval algorithms can not meet the efficient retrieval efficiency and privacy security of speech data in massive applications. Aiming at the problems of retrieval efficiency and accuracy caused by high dimension and complex space of speech feature data, content verifiable retrieval after speech attack, and the security of speech storage and transmission process, a security framework based on KNN Secure Hash (KNNSH) is proposed for verifiable speech retrieval. In this algorithm, the spectral centroid of speech is used as the only input factor, and then KNN classification is used to train and learn the speech vector to obtain each speech centroid. Each speech centroid is assigned a specific hyperchaotic Lorenz compressed sensing encryption algorithm (HL-CS) key, and the security framework is constructed according to the revocable biometric template generated by the combination of classification and specific key. The binary hash vector is generated, and then the hash vector is encrypted by HL-CS. The same encryption algorithm is used to encrypt the original speech. Experimental results show that only one item needs to be matched in the intra class matching process after classification, which improves the retrieval efficiency and accuracy, and realizes the content verification of speech retrieval after content preservation operations. Speech encryption effectively prevents the disclosure of plaintext, ensures the security of speech storage and transmission process. It has a large key space, which is enough to resist exhaustive attacks. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	Springer
WOS记录号	WOS:000840056400003
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/159770]
专题	计算机与通信学院
作者单位	1.College of Physics and Electronic Engineering, Northwest Normal University, Peili Street, Gansu, Lanzhou; 730070, China; 2.School of Computer and Communication, Lanzhou University of Technology, Xihu Street, Gansu, Lanzhou; 730070, China
推荐引用方式 GB/T 7714	An, Li,Huang, Yi-bo,Zhang, Qiu-yu. Verifiable speech retrieval algorithm based on KNN secure hashing[J]. Multimedia Tools and Applications,2022.
APA	An, Li,Huang, Yi-bo,&Zhang, Qiu-yu.(2022).Verifiable speech retrieval algorithm based on KNN secure hashing.Multimedia Tools and Applications.
MLA	An, Li,et al."Verifiable speech retrieval algorithm based on KNN secure hashing".Multimedia Tools and Applications (2022).