Identity Authentication Method Based on Voiceprint Features of Communication Payloads

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.

Keywords

• underwater acoustic communication
• voiceprint features
• identity authentication
• target recognition