首页|基于通信载荷声纹特征的身份认证方法

基于通信载荷声纹特征的身份认证方法

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水声通信网络安全是水下通信进行信息共享和协同作业的重要保障,现有技术主要研究认证协议和数据加密,注重提高网络的安全性,忽略了网络的效率和能耗问题.为避免上述方法带来的网络拥堵,受移动智能设备等领域研究启发,提出将声纹认证融入水下通信网络的身份认证系统,设计了一种基于通信载荷声纹特征的识别方法.利用注意力机制,融合非线性倒谱和相位谱特征,以降低复杂海洋环境噪声的影响,并通过AlexNet网络进行目标识别.为验证该方法的有效性,通过采集多种水声通信信号,检验文中声纹特征识别的差异性和有效性,论证了文中方法的可行性和可靠性.文中研究可为解决水声通信网络的身份认证问题提供新思路,对增强水声通信网络的安全、实现高质量的信息共享和高效率的协同控制提供一定参考.
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 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 communicationvoiceprint featuresidentity authenticationtarget recognition

陈露、赵德鑫、王俊、高虹、陈迎亮

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国防科技创新研究院前沿交叉技术研究中心,北京, 100071

中国船舶集团有限公司第 705 研究所,陕西西安, 710077

水声通信 声纹特征 身份认证 目标识别

2024

水下无人系统学报
中国船舶重工集团公司第七〇五研究所

水下无人系统学报

CSTPCD
影响因子:0.251
ISSN:2096-3920
年,卷(期):2024.32(1)
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