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

Authors :
Huang, Yibo
Wang, Bo
Pu, Xiangrong
Li, Yian
Zhang, Qiuyu
Source :
Journal of Supercomputing. Mar2024, Vol. 80 Issue 5, p6661-6698. 38p.
Publication Year :
2024

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09208542
Volume :
80
Issue :
5
Database :
Academic Search Index
Journal :
Journal of Supercomputing
Publication Type :
Academic Journal
Accession number :
176005172
Full Text :
https://doi.org/10.1007/s11227-023-05693-3