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

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Abstract

Existing biohashing authentication schemes usually store bioinformation in the cloud, whose storage method can face the problems of bioinformation leakage and tampering, and single point of failure. To address the above problems, a ciphertext speech biohashing authentication scheme based on chaotic system and improved public chain is proposed. First, the fusion features are extracted and generated with the inner product of 3D chaotic system to generate the biohashing sequence. Second, the original speech is encrypted and uploaded to the InterPlanetary file system and then, uploaded to the blockchain after the data are encrypted. Finally, the server matches the hash sequence queried on the chain with the to-be-authenticated hash at the user’s end using the Hamming distance. The experimental results show that the biohashing algorithm in this paper has better distinguishability, robustness, security and time efficiency. The key space of the speech encryption algorithm is \({2^{256}}\), which can well resist the exhaustive attack and ensure the security during speech authentication. In this paper, the combination of on-chain and off-chain storage of speech information can prevent the problem of bioinformation leakage and tampering, as well as avoiding the problem of single point of failure.

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Data availability

The datasets analyzed during this study can be found at TIMIT (Texas Instruments and MIT) and TTS (Text-to-Speech).

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Acknowledgements

This work is supported by the Gansu Provincial Science and Technology Plan Project Grant (No. 21JR7RA120), Gansu Provincial Young Doctoral Fund Grant (2022QB-033), and the National Natural Science Foundation of China Grant (No. 61862041).

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Authors and Affiliations

  1. College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, 730070, China

    Yibo Huang, Bo Wang, Xiangrong Pu & Yian Li

  2. School of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, China

    Qiuyu Zhang

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  1. Yibo Huang
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  4. Yian Li
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Contributions

YH and BW contributed to methods, system models, software, experiments, and writing original manuscript. XP and YL and QZ contributed to investigation, supervision, and writing review and editing. All authors reviewed the manuscript.

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Correspondence to Yibo Huang.

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Huang, Y., Wang, B., Pu, X. et al. Research on ciphertext speech biohashing authentication based on chaotic system and improved public chain. J Supercomput 80, 6661–6698 (2024). https://doi.org/10.1007/s11227-023-05693-3

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