Acoustic encryption with cascaded acoustic holography

IF 6.4 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY
Qin Lin, Feiyan Cai, Jinwei Ye, Yunqing Liu, Rujun Zhang, Jun Wang, Yanyi Chen, Hairong Zheng, Huailing Zhang
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引用次数: 0

Abstract

Acoustic waves are promising for information encryption in electromagnetic shielding environments, or underwater. However, current encryption methods using acoustic waves are prone to information leakage during the decryption process due to their limited information capacity. Herein, we propose and experimentally demonstrate a novel acoustic holographic encryption framework based on cascaded acoustic holography, enabling encrypted information to be spatially split into two acoustic holographic plates (AHPs). To achieve this, we introduce a physics-enhanced cascaded acoustic hologram deep neural network method that inversely optimizes the phase offset distributions of AHPs. Both numerical and experimental results show that each AHP serves as a spatially separable secret key, carrying a portion of the encrypted information as a unique holographic image. Notably, the complete encrypted image, which differs from the individual holographic images generated by each AHP, is only revealed when both AHPs are appropriately cascaded along the diffraction path. This significantly enhances both information capacity and security. Moreover, we present an enhanced acoustic holographic encryption scheme that allows for the encryption of two holographic images using just three AHPs. A distinct example of underwater communication based on the proposed cascaded acoustic holographic encryption framework is further demonstrated, highlighting its capacity for high-capacity and enhanced-security parallel transmission of multiple messages to multiple receivers. With the advantages of high security, high scalability, and high fidelity, our cascaded acoustic holographic encryption framework has promising applications in fields such as acoustic encryption and underwater communication.

级联声全息声学加密
声波在电磁屏蔽环境或水下的信息加密中具有广阔的应用前景。然而,现有的声波加密方法由于其信息量有限,在解密过程中容易出现信息泄露。在此,我们提出并实验证明了一种基于级联声全息的新型声全息加密框架,使加密信息在空间上分裂为两个声全息板(ahp)。为了实现这一目标,我们引入了一种物理增强级联声全息图深度神经网络方法,该方法反向优化ahp的相位偏移分布。数值和实验结果表明,每个AHP作为一个空间可分离的密钥,作为唯一的全息图像携带部分加密信息。值得注意的是,完整的加密图像不同于每个AHP生成的单个全息图像,只有当两个AHP沿着衍射路径适当级联时才会显示出来。这大大提高了信息容量和安全性。此外,我们提出了一种增强型声学全息加密方案,该方案允许仅使用三个ahp加密两个全息图像。本文进一步展示了基于所提出的级联声学全息加密框架的水下通信的一个独特示例,突出了其向多个接收器并行传输多个消息的高容量和增强安全性的能力。我们的级联声学全息加密框架具有高安全性、高扩展性和高保真度等优点,在声学加密和水下通信等领域具有广阔的应用前景。
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来源期刊
Science China Physics, Mechanics & Astronomy
Science China Physics, Mechanics & Astronomy PHYSICS, MULTIDISCIPLINARY-
CiteScore
10.30
自引率
6.20%
发文量
4047
审稿时长
3 months
期刊介绍: Science China Physics, Mechanics & Astronomy, an academic journal cosponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China, and published by Science China Press, is committed to publishing high-quality, original results in both basic and applied research. Science China Physics, Mechanics & Astronomy, is published in both print and electronic forms. It is indexed by Science Citation Index. Categories of articles: Reviews summarize representative results and achievements in a particular topic or an area, comment on the current state of research, and advise on the research directions. The author’s own opinion and related discussion is requested. Research papers report on important original results in all areas of physics, mechanics and astronomy. Brief reports present short reports in a timely manner of the latest important results.
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