Research on ciphertext speech biohashing authentication based on chaotic system and improved public chain-Reference-Cited by-同舟云学术

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Research on ciphertext speech biohashing authentication based on chaotic system and improved public chain

Published:2023-10-27 Issue: Volume: Page:
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Huang Yibo,Wang Bo,Pu Xiangrong,Li Yian,Zhang Qiuyu

Funder

Gansu Provincial Young Doctoral Fund Grant

The National Natural Science Foundation of China Grant

The Gansu Provincial Science and Technology Plan Project Grant

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-023-05693-3.pdf

Reference40 articles.

1. Dahabiyeh L, Constantinides P (2022) Legitimating digital technologies in industry exchange fields: the case of digital signatures. Inf Organ 32(1):100392

2. Liu Z, Zhang F, Wang J, Wang H, Huang J (2016) Authentication and recovery algorithm for speech signal based on digital watermarking. Signal Process 123:157–166

3. Niu X-M, Jiao Y-H (2008) An overview of perceptual hashing. Acta Electon Sinica 36(7):1405

4. Lai Y, Jin Z, Wong K, Tistarelli M (2021) Efficient known-sample attack for distance-preserving hashing biometric template protection schemes. IEEE Trans Inf Forensics Secur 16:3170–3185

5. Prabakaran D, Shyamala R (2019) A review on performance of voice feature extraction techniques. In: 2019 3rd International Conference on Computing and Communications Technologies (ICCCT), IEEE, pp. 221–231

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