Identity Authentication Method Based on Voiceprint Features of Communication Payloads
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 ig...
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Published in | 水下无人系统学报 Vol. 32; no. 1; pp. 97 - 104 |
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Main Authors | , , , , |
Format | Journal Article |
Language | Chinese |
Published |
Science Press (China)
01.02.2024
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Subjects | |
Online Access | Get full text |
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Summary: | 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 |
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ISSN: | 2096-3920 |
DOI: | 10.11993/j.issn.2096-3920.2023-0027 |