Identity Authentication Method Based on Voiceprint Features of Communication Payloads

CHEN Lu; ZHAO Dexin; WANG Jun; GAO Hong; CHEN Yingliang

doi:10.11993/j.issn.2096-3920.2023-0027

Volume 32 Issue 1

Feb 2024

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Article Navigation > Journal of Unmanned Undersea Systems > 2024 > 32(1): 97-104

CHEN Lu, ZHAO Dexin, WANG Jun, GAO Hong, CHEN Yingliang. Identity Authentication Method Based on Voiceprint Features of Communication Payloads[J]. Journal of Unmanned Undersea Systems, 2024, 32(1): 97-104. doi: 10.11993/j.issn.2096-3920.2023-0027

Citation:

CHEN Lu, ZHAO Dexin, WANG Jun, GAO Hong, CHEN Yingliang. Identity Authentication Method Based on Voiceprint Features of Communication Payloads[J]. Journal of Unmanned Undersea Systems, 2024, 32(1): 97-104. doi: 10.11993/j.issn.2096-3920.2023-0027

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Identity Authentication Method Based on Voiceprint Features of Communication Payloads

doi: 10.11993/j.issn.2096-3920.2023-0027

CHEN Lu^1
,,
ZHAO Dexin^1
,,
WANG Jun^1
,,
GAO Hong^1
,,
CHEN Yingliang^2
,

1.
Advanced Interdisciplinary Technology Research Center, National Innovation Institute of Defense Technology, Beijing 100071, China
2.
The 705 Research Institute, China State Shipbuilding Corporation Limited, Xi’an 710077, China

Received Date: 2023-03-16
Accepted Date: 2023-08-17
Rev Recd Date: 2023-07-11

Available Online: 2023-11-21

Abstract

Abstract

The security of underwater acoustic communication networks is an important guarantee for information sharing and cooperative operation of underwater communication. Existing technologies mainly study authentication protocol and data encryption, focusing on improving the security of the network but ignoring the efficiency and energy consumption of the network. To avoid network congestion caused by the above methods, this paper, inspired by research in mobile smart devices and other fields, proposed to integrate voiceprint authentication into the identity authentication system of underwater communication networks, and it designed a recognition method based on voiceprint features of communication payloads. This method used the attention mechanism and merged nonlinear cepstrum features and phase spectrum features to reduce the influence of complex marine environment noise. In addition, it identified the target through the AlexNet network. To verify the effectiveness of this method, this paper collected underwater acoustic communication signals, verified the difference and effectiveness of the proposed voiceprint feature recognition, and demonstrated the feasibility and reliability of the proposed method. The research in the paper provides a new idea for solving the identity authentication of underwater acoustic communication networks, which serves as a reference for enhancing security and realizing high-quality information sharing and high-efficiency cooperative control of underwater acoustic communication networks.
- underwater acoustic communication,
- voiceprint features,
- identity authentication,
- target recognition

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References(17)

References

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