Sound wave communication encryption adjustment method and system based on noise environment

Abstract

The invention relates to the technical field of communication encryption, in particular to a sound wave communication encryption adjustment method and system based on a noise environment, which can effectively guarantee the quality and safety of sound wave communication in a complex noise environment. The method comprises the following steps: acquiring a sound wave communication original signal of a to-be-encrypted sound wave and noise environment data, wherein the sound wave communication original signal and the noise environment data are in space-time alignment; performing feature analysis on the noise environment data to obtain a noise environment feature set; the noise environment feature set comprises a noise time domain feature, a noise frequency domain feature, a noise phase feature and a noise space feature; based on the noise environment feature set, sound wave feature extraction is carried out on the sound wave communication original signal, a sound wave influence feature set of the sound wave to be encrypted is obtained, and the sound wave influence feature set comprises sound wave features of which the distortion rate is lower than a preset distortion threshold value in a noise environment state applied by the noise environment feature set; and the characteristics of the sound waves which are greatly influenced are transmitted under the current noise condition.

Description

Technical Field

[0001] The present invention relates to the technical field of communication encryption, and in particular to a method and system for adjusting sound wave communication encryption based on a noise environment. Background Art

[0002] In modern communication technology, acoustic wave communication has attracted attention due to its unique physical properties and wide range of application scenarios, especially in underwater communication, short-distance wireless communication, medical health monitoring and other fields. However, acoustic wave communication faces a major challenge, namely the impact of the noisy environment on its communication quality. Interference in a noisy environment can not only cause signal attenuation and distortion, but may even lead to communication interruption, seriously affecting the reliability and security of communication.

[0003] Most existing acoustic communication encryption methods rely on fixed encryption algorithms and parameters. These methods can maintain good communication quality and encryption effects when the noise environment is relatively stable or weak. However, in complex noise environments, such as urban streets and factory workshops, the noise sources are diverse and the intensity varies. Traditional encryption methods are often difficult to adapt, resulting in a decline in communication quality and a weakening of the encryption effect. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a noise environment-based sound wave communication encryption adjustment method and system that can effectively ensure the quality and security of sound wave communication in a complex noise environment.

[0005] In a first aspect, the present invention provides a method for adjusting encryption of acoustic wave communication based on a noise environment, the method comprising:

[0006] Acquire an original sound wave communication signal and noise environment data of the sound wave to be encrypted, wherein the original sound wave communication signal and the noise environment data are aligned in time and space;

[0007] Performing feature analysis on the noise environment data to obtain a noise environment feature set; the noise environment feature set includes noise time domain features, noise frequency domain features, noise phase features, and noise space features;

[0008] Based on the noise environment feature set, extracting the sound wave features of the original sound wave communication signal to obtain a sound wave influence feature set of the sound wave to be encrypted, wherein the sound wave influence feature set includes sound wave features whose distortion rate is lower than a preset distortion threshold under the noise environment state imposed by the noise environment feature set;

[0009] Inputting the noise environment feature set and the sound wave impact feature set into a pre-built sound wave communication encryption parameter integrated analysis model to obtain sound wave encryption parameters suitable for the current noise environment;

[0010] The sound wave to be encrypted is encrypted according to the sound wave encryption parameter.

[0011] Furthermore, the method for obtaining the original acoustic wave communication signal and the noise environment data includes:

[0012] Using an acoustic wave sensor to capture the acoustic wave signal to be encrypted;

[0013] Preprocess the acquired signals, including filtering and amplification, to eliminate background noise and improve signal quality;

[0014] Using different sensors to capture noise data in the environment during the same time period;

[0015] Timestamping the sound wave signal to be encrypted and the noise environment data so that the sound wave signal to be encrypted and the noise environment data are aligned in time and space;

[0016] The aligned sound wave signal and noise environment data are integrated to obtain the original sound wave communication signal and noise environment data of the sound wave to be encrypted.

[0017] Furthermore, the method for acquiring the noise environment feature set includes:

[0018] Preprocess the noisy environment data, including removing outliers, smoothing and denoising;

[0019] By calculating the mean, variance, peak, valley and autocorrelation function of the noise signal, the basic characteristics of the noise in the time domain can be obtained;

[0020] The noise signal is converted from the time domain to the frequency domain through the Fourier transform algorithm to obtain its spectrum characteristics;

[0021] By calculating the phase spectrum and phase difference of the noise signal, the phase characteristics of the noise can be obtained;

[0022] Use multiple sensor arrays to capture noisy signals and extract spatial features;

[0023] The obtained time domain features, frequency domain features, phase features and spatial features are integrated into a noise environment feature set.

[0024] Furthermore, the method for constructing the acoustic wave communication encryption parameter integrated analysis model includes:

[0025] Collect noise environment data and acoustic communication raw signal data; pre-process the collected data, including removing outliers, smoothing and denoising;

[0026] Selecting a machine learning model as the infrastructure of the acoustic communication encryption parameter integrated analysis model, wherein the machine learning model includes a support vector machine, a neural network, a decision tree, a regression analysis, and a cluster analysis;

[0027] The processed data is divided into training set, validation set and test set; the training set is used to train the model, the validation set is used to adjust the model parameters, and the test set is used to finally evaluate the model performance;

[0028] The selected model is trained using the training set, and the prediction error is minimized by adjusting the model parameters;

[0029] After each training cycle, the validation set is used to evaluate the model performance and adjust the hyperparameters.

[0030] Use the test set to evaluate the generalization ability of the model;

[0031] Once the model is trained and validated, it is deployed in actual communication systems as a tool for real-time tuning of encryption parameters.

[0032] Furthermore, the structure of the acoustic communication encryption parameter integrated analysis model includes:

[0033] Input layer: used to receive and process data from the outside, including noise environment feature set and sound wave impact feature set;

[0034] Feature fusion layer: used to fuse the noise environment feature set and the sound wave impact feature set received by the input layer;

[0035] Analysis and processing layer: used to analyze and adjust encryption parameters based on the fused feature information;

[0036] Output layer: used to output sound wave encryption parameters suitable for the current noise environment;

[0037] Feedback and optimization layer: used to collect and analyze the performance of the model in actual applications, and optimize and adjust the model based on the feedback results.

[0038] Furthermore, the method for encrypting the sound wave to be encrypted includes:

[0039] Select an encryption algorithm based on the encryption algorithm type specified in the acoustic encryption parameters;

[0040] Generate the key required for encryption according to the acoustic wave encryption parameters;

[0041] Perform necessary preprocessing on the sound wave signal to be encrypted, including signal enhancement, noise suppression and data compression;

[0042] Convert the preprocessed sound wave signal into a format suitable for encryption, and use the selected encryption algorithm and the generated key to perform encryption operation on the sound wave signal;

[0043] Post-processing the encrypted sound wave signal, including adding a checksum and encapsulating it into a data packet;

[0044] Evaluate the effectiveness of the encrypted sound wave signal, including encryption strength, data integrity, and anti-attack capability testing;

[0045] By comparing with the unencrypted sound wave signal, the impact of encryption operation on the quality of sound wave communication is verified.

[0046] Furthermore, the method for acquiring the sound wave impact feature set of the sound wave to be encrypted includes:

[0047] Evaluate the impact of noise on acoustic signals, determine the degree of signal distortion by calculating the signal-to-noise ratio and mean square error under different noise conditions, and identify acoustic features with low distortion in noisy environments;

[0048] Identify key features in acoustic signals, including frequency content, phase information, and amplitude changes;

[0049] Based on the results of distortion analysis, the sound wave features that can still maintain high recognizability in a given noise environment are screened out;

[0050] The filtered features are combined into a sound wave impact feature set.

[0051] On the other hand, the present application also provides a sound wave communication encryption adjustment system based on a noise environment, the system comprising:

[0052] A data acquisition module, which acquires the original sound wave communication signal and noise environment data of the sound wave to be encrypted, wherein the original sound wave communication signal and the noise environment data are aligned in time and space;

[0053] A noise feature analysis module performs feature analysis on the noise environment data to obtain a noise environment feature set; the noise environment feature set includes noise time domain features, noise frequency domain features, noise phase features and noise space features;

[0054] The acoustic wave feature extraction module extracts acoustic wave features from the acoustic wave communication original signal based on the noise environment feature set to obtain an acoustic wave influence feature set of the acoustic wave to be encrypted, wherein the acoustic wave influence feature set includes acoustic wave features whose distortion rate is lower than a preset distortion threshold under the noise environment state imposed by the noise environment feature set, indicating acoustic wave features whose transmission is greatly affected under the current noise condition;

[0055] The encryption parameter analysis module inputs the noise environment feature set and the sound wave impact feature set into a pre-built sound wave communication encryption parameter integrated analysis model to obtain sound wave encryption parameters suitable for the current noise environment;

[0056] The encryption processing module performs encryption processing on the sound wave to be encrypted according to the sound wave encryption parameters.

[0057] In a third aspect, the present application provides an electronic device, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, and the computer program, when executed by the processor, implements the steps of any one of the above methods.

[0058] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps in any one of the above-mentioned methods when executed by a processor.

[0059] Compared with the prior art, the invention has the following beneficial effects: the method can dynamically adjust encryption parameters according to the noise environment data acquired in real time, so that the encryption processing is more adapted to the current noise environment, thereby improving the flexibility and adaptability of the system;

[0060] By analyzing the characteristics of noise environment data, we can more accurately evaluate the impact of noise on signal transmission, and then adjust the encryption strategy in a targeted manner to reduce signal attenuation and distortion caused by noise.

[0061] By extracting acoustic wave features, it is possible to identify acoustic wave features that are most affected in a specific noise environment, so that corresponding encryption measures can be taken to improve the effectiveness and pertinence of encryption.

[0062] This method emphasizes real-time acquisition of noise data and spatial and temporal alignment with the original acoustic communication signal, ensuring the consistency of encryption processing with the actual communication environment and enhancing the real-time response capability of the system.

[0063] Since encryption parameters are dynamically generated according to the current noise environment, the encryption process is more unpredictable, which increases the difficulty for attackers to crack, thereby improving the security of communication;

[0064] By analyzing the characteristics of the noise environment to determine the encryption parameters, it is possible to reasonably utilize encryption resources while ensuring communication quality and avoid the additional overhead caused by excessive encryption;

[0065] The pre-built acoustic communication encryption parameter integrated analysis model can make the best encryption parameter selection based on the noise environment feature set and the acoustic impact feature set, thus improving the intelligence level of encryption decision-making.

[0066] In summary, this method can effectively ensure the quality and security of acoustic communication in complex noisy environments by dynamically adjusting encryption parameters, while improving the intelligence and resource utilization of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 is a flow chart of the present invention;

[0068] Figure 2 It is a flow chart of a method for acquiring a noise environment feature set;

[0069] Figure 3 It is a structural diagram of the acoustic wave communication encryption adjustment system based on the noisy environment. DETAILED DESCRIPTION

[0070] In the description of the present application, those skilled in the art should know that the present application can be implemented as a method, an apparatus, an electronic device, and a computer-readable storage medium. Therefore, the present application can be specifically implemented in the following forms: complete hardware, complete software (including firmware, resident software, microcode, etc.), a combination of hardware and software. In addition, in some embodiments, the present application can also be implemented in the form of a computer program product in one or more computer-readable storage media, and the computer-readable storage medium contains computer program code.

[0071] The above-mentioned computer-readable storage medium may adopt any combination of one or more computer-readable storage media. Computer-readable storage media include: electrical, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or devices, or any combination of the above. More specific examples of computer-readable storage media include: portable computer disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, optical disc read-only memories, optical storage devices, magnetic storage devices, or any combination of the above. In the present application, computer-readable storage media can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or device.

[0072] The acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws.

[0073] The present application describes the provided methods, devices, and electronic devices through flowcharts and / or block diagrams.

[0074] It should be understood that each box in the flowchart and / or block diagram and the combination of boxes in the flowchart and / or block diagram can be implemented by computer-readable program instructions. These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine, and these computer-readable program instructions are executed by a computer or other programmable data processing device to produce a device that implements the functions / operations specified by the boxes in the flowchart and / or block diagram.

[0075] These computer-readable program instructions may also be stored in a computer-readable storage medium that enables a computer or other programmable data processing device to work in a specific manner. In this way, the instructions stored in the computer-readable storage medium produce an instruction device product including functions / operations specified in the blocks in the flowchart and / or block diagram.

[0076] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device, so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby enabling the instructions executed on the computer or other programmable data processing apparatus to provide a process for implementing the functions / operations specified in the blocks in the flowchart and / or block diagram.

[0077] The present application is described below in conjunction with the drawings in the present application.

[0078] Embodiment 1: Figure 1 to Figure 2 As shown, the sound wave communication encryption adjustment method based on the noise environment of the present invention specifically includes the following steps:

[0079] S1, obtaining an original sound wave communication signal and noise environment data of a sound wave to be encrypted, wherein the original sound wave communication signal and the noise environment data are aligned in time and space;

[0080] The method for obtaining the original acoustic wave communication signal and the noise environment data includes:

[0081] Using a high-quality sound wave sensor to capture the sound wave signal to be encrypted; the sound wave signal to be encrypted is voice, music or any other form of sound wave data;

[0082] Preprocess the acquired signals, including filtering and amplification, to eliminate background noise and improve signal quality;

[0083] Use different sensors to capture noise data in the environment during the same time period; noise data in the environment includes noise characteristics in different frequency ranges; noise data collection should consider multiple locations and angles to ensure a comprehensive understanding of the noise source;

[0084] In order to align the encrypted acoustic signal with the noise environment data in time and space, the encrypted acoustic signal and the noise environment data are time-stamped; a precise clock synchronization mechanism is used to ensure the time consistency of the signal and noise data;

[0085] In terms of space, the delay of sound wave propagation and the characteristics of the vocal tract are taken into account, and the sound wave propagation path is simulated to ensure that the signal and noise data used in the analysis are corresponding;

[0086] The time-space aligned acoustic wave signal and noise environment data are integrated to obtain the original acoustic wave communication signal and noise environment data of the acoustic wave to be encrypted for subsequent feature analysis.

[0087] In this step, by using high-quality acoustic wave sensors to capture signals and preprocessing the captured signals, background noise can be effectively eliminated and the clarity and accuracy of the original acoustic wave communication signal can be improved; more reliable original data is provided for subsequent encryption processing; in the same time period, different sensors are used to capture noise data in the environment, and multiple positions and angles are considered for collection, so that the distribution and characteristics of noise sources can be fully understood; it is helpful to more accurately evaluate the impact of noise on acoustic wave communication and provide a more accurate reference for the adjustment of encryption parameters; through timestamp marking and precise clock synchronization mechanism, the temporal consistency of the acoustic wave signal to be encrypted and the noise environment data is ensured; at the same time, the correspondence between the signal and the noise data is ensured in space by simulating the acoustic wave propagation path; a more accurate data basis is provided for subsequent feature analysis and encryption processing; based on high-quality acoustic wave communication original signals and comprehensive and accurate noise environment data, the subsequent encryption parameter selection will be more reasonable and effective; it can not only improve the strength and security of encryption, but also reduce the impact of noise on communication quality, thereby optimizing the overall effect of acoustic wave communication.

[0088] S2. Perform feature analysis on the noise environment data to obtain a noise environment feature set; the noise environment feature set includes noise time domain features, noise frequency domain features, noise phase features, and noise space features;

[0089] The method for acquiring the noise environment feature set comprises:

[0090] Before feature analysis, the noisy environment data is preprocessed, including removing outliers, smoothing, and denoising to ensure the accuracy and reliability of subsequent analysis;

[0091] Time domain feature analysis mainly focuses on the characteristics of noise signals changing over time. By calculating the mean, variance, peak value, valley value, and autocorrelation function of noise signals, the basic characteristics of noise in the time domain can be obtained. This helps to understand the stability and periodicity of noise signals.

[0092] Frequency domain feature analysis focuses on the distribution characteristics of noise signals in the frequency domain. Through the Fourier transform algorithm, the noise signal is converted from the time domain to the frequency domain to obtain its spectrum characteristics. Spectral analysis can reveal the intensity and distribution of noise at different frequencies.

[0093] Phase feature analysis focuses on the phase information of the noise signal. By calculating the phase spectrum or phase difference of the noise signal, the phase characteristics of the noise can be obtained.

[0094] Use multiple sensor arrays to capture noisy signals and extract spatial features through spatial filtering and beamforming techniques;

[0095] The obtained time domain features, frequency domain features, phase features and spatial features are integrated into a noise environment feature set.

[0096] In this step, by preprocessing the noise environment data, the noise and interference in the data can be significantly reduced, thereby improving the accuracy and reliability of subsequent feature analysis; through time domain feature analysis, frequency domain feature analysis, phase feature analysis and spatial feature analysis, the characteristics of the noise signal in different dimensions can be fully and deeply understood, which helps to more accurately describe and understand the noise environment; time domain feature analysis can reveal the stability and periodicity of the noise signal by calculating the mean, variance, peak value, valley value and autocorrelation function of the noise signal; frequency domain feature analysis converts the noise signal from the time domain to the frequency domain through the Fourier transform algorithm to obtain its spectral characteristics; it helps to identify the intensity and distribution of noise at different frequencies, which is helpful for subsequent noise control and management. Provide important basis; phase feature analysis can obtain the phase information of noise signals, which is helpful to further analyze the characteristics and sources of noise; use multiple sensor arrays to capture noise signals, and extract spatial features through spatial filtering and beamforming technology, which can obtain the distribution and propagation characteristics of noise signals in space, and provide strong support for the spatial positioning and monitoring of noise; integrate the obtained time domain features, frequency domain features, phase features and spatial features into a noise environment feature set, which is helpful for the subsequent comprehensive analysis, evaluation and governance of the noise environment; this integrated feature set provides more comprehensive and reliable data support for noise control; this step provides strong data support and theoretical basis for subsequent noise analysis and governance by comprehensively and deeply extracting noise environment features.

[0097] S3, based on the noise environment feature set, extracting the acoustic wave features of the original acoustic wave communication signal to obtain an acoustic wave influence feature set of the acoustic wave to be encrypted, wherein the acoustic wave influence feature set includes acoustic wave features whose distortion rate is lower than a preset distortion threshold under the noise environment state imposed by the noise environment feature set, indicating acoustic wave features whose transmission is greatly affected under the current noise condition;

[0098] The method for obtaining the sound wave impact feature set of the sound wave to be encrypted includes:

[0099] Evaluate the impact of noise on acoustic signals, determine the degree of signal distortion by calculating the signal-to-noise ratio and mean square error under different noise conditions; identify acoustic features with low distortion in specific noise environments;

[0100] Identify key features in acoustic signals, including frequency content, phase information, and amplitude changes; these features can be correctly decoded even in the presence of noise;

[0101] According to the results of distortion analysis, those sound wave features that can still maintain high recognizability in a given noise environment are screened out;

[0102] Finally, the selected features are combined into a set, namely the sound wave impact feature set; this set contains those features that can better reflect the characteristics of the original sound wave signal even in a noisy environment.

[0103] In this step, by extracting the acoustic wave features of the original acoustic wave communication signal based on the noise environment feature set, this step can identify the acoustic wave features with low distortion rate in a specific noise environment, thereby effectively reducing the impact of noise on the acoustic wave communication signal; it helps to improve the stability and reliability of acoustic wave communication in a complex noise environment, so that the acoustic wave signal can still be accurately received and decoded under high noise conditions; the acoustic wave impact feature set of the acoustic wave to be encrypted includes the acoustic wave features that are most affected by transmission under the current noise conditions, but also ensures that these features are still highly identifiable in a noisy environment; it means that the encrypted acoustic wave signal can reduce the signal distortion caused by noise interference while maintaining a high amount of information, thereby improving the quality and security of the encrypted acoustic wave signal; this step extracts the acoustic wave features with low distortion rate in a specific noise environment, thereby effectively reducing the impact of noise on the acoustic wave communication signal; it helps to improve the stability and reliability of acoustic wave communication in a complex noise environment, so that the acoustic wave signal can still be accurately received and decoded under high noise conditions; the acoustic wave impact feature set of the acoustic wave to be encrypted includes the acoustic wave features that are most affected by transmission under the current noise conditions, but also ensures that these features are still highly identifiable in a noisy environment; it means that the encrypted acoustic wave signal can reduce the signal distortion caused by noise interference while maintaining a high amount of information, thereby improving the quality and security of the encrypted acoustic wave signal; The distortion analysis and feature screening of the wave signal can generate a sound wave impact feature set suitable for various noise environments; the sound wave communication system can automatically adjust and optimize the transmission strategy according to the characteristics of different environmental noises, thereby improving the adaptability and flexibility of the sound wave communication system; by accurately screening the sound wave features, this step can reduce unnecessary signal transmission, thereby reducing the communication cost to a certain extent; at the same time, since the anti-interference ability of the sound wave signal is improved, the number of communication failures and retransmissions caused by signal distortion is also reduced, further reducing the communication cost and time cost; this step effectively improves the robustness of the sound wave communication, optimizes the quality of the encrypted sound wave signal, improves the adaptability of the sound wave communication, and reduces the communication cost by extracting and screening the sound wave features of the original sound wave communication signal based on the noise environment feature set.

[0104] S4, inputting the noise environment feature set and the sound wave impact feature set into a pre-built sound wave communication encryption parameter integrated analysis model to obtain sound wave encryption parameters suitable for the current noise environment;

[0105] The method for constructing the acoustic wave communication encryption parameter integrated analysis model comprises:

[0106] Collect a large amount of noise environment data and acoustic communication raw signal data; these data cover various noise environments to ensure the generalization ability of the model; pre-process the collected data, including removing outliers, smoothing and denoising, to improve the quality and reliability of the data;

[0107] When constructing the model, a machine learning model is selected as the basic architecture of the acoustic communication encryption parameter integrated analysis model, and the machine learning model includes a support vector machine, a neural network, a decision tree, a regression analysis, and a cluster analysis;

[0108] The processed data is divided into training set, validation set and test set; the training set is used to train the model, the validation set is used to adjust the model parameters, and the test set is used to finally evaluate the model performance;

[0109] The selected model is trained using the training set, and the prediction error is minimized by adjusting the model parameters;

[0110] After each training cycle, use the validation set to evaluate model performance and adjust hyperparameters to prevent overfitting;

[0111] Repeated training and verification until the model converges and reaches satisfactory performance indicators;

[0112] Use the test set to evaluate the generalization ability of the model. Evaluation indicators include accuracy, recall, F1 score, etc.

[0113] Once the model is trained and verified, it is deployed in the actual communication system as a tool for real-time adjustment of encryption parameters;

[0114] The structure of the acoustic communication encryption parameter integrated analysis model includes:

[0115] Input layer: The input layer is the starting part of the model, which is used to receive and process data from the outside; including the noise environment feature set and the sound wave impact feature set;

[0116] Feature fusion layer: used to fuse the noise environment feature set and the sound wave impact feature set received by the input layer; integrate the feature information from two different sources together for subsequent analysis and processing, ensuring that the fused features can accurately reflect the complex relationship between the noise environment and the sound wave signal;

[0117] Analysis and processing layer: used to analyze and adjust encryption parameters according to the fused feature information; dynamically adjust encryption parameters according to the fused feature information to adapt to the acoustic wave communication requirements in the current noisy environment;

[0118] Output layer: used to output the acoustic wave encryption parameters suitable for the current noise environment; the results of the output layer will be directly used for the encryption processing of acoustic wave communication to ensure the reliability and security of communication;

[0119] Feedback and optimization layer: used to collect and analyze the performance of the model in actual applications, and optimize and adjust the model based on the feedback results; this step can ensure that the model continues to maintain high performance and stability in complex and changing noise environments.

[0120] In this step, by constructing an integrated analysis model for acoustic communication encryption parameters, the encryption parameters can be dynamically adjusted to adapt to the current noise environment, thereby significantly reducing the impact of noise on the quality of acoustic communication and improving the reliability of communication; the model analyzes and adjusts encryption parameters according to the characteristics of the noise environment and the characteristics of acoustic wave influence, which can ensure that the encryption effect is still strong in complex and changeable noise environments, and effectively protect the communication content from being stolen or tampered with; by collecting data covering various noise environments for model training, the generalization ability of the model is significantly improved, and it can maintain stable performance in different types of noise environments; the data is divided into training sets, validation sets, and test sets, and the model parameters are optimized through repeated training and verification to ensure that the model reaches a satisfactory level when it converges. performance indicators, thereby improving the accuracy and stability of the model; once the model training is completed and verified, it can be deployed in the actual communication system as a tool for real-time adjustment of encryption parameters, so that the encryption parameters can be automatically adjusted as the noise environment changes, improving the flexibility and adaptability of the communication system; through the feedback and optimization layer, the performance of the model in actual applications is collected and analyzed, and the model is optimized and adjusted according to the feedback results, which can ensure that the model continues to maintain high performance and stability in complex and changeable noise environments, thereby continuously improving the reliability and security of acoustic wave communications; this step realizes the dynamic adjustment and optimization of encryption parameters by constructing an integrated analysis model for acoustic wave communication encryption parameters, significantly improving the reliability and security of acoustic wave communications in complex noise environments.

[0121] S5. Encrypting the sound wave to be encrypted according to the sound wave encryption parameter;

[0122] The method for encrypting the sound wave to be encrypted includes:

[0123] According to the encryption algorithm type specified in the acoustic wave encryption parameters, a suitable algorithm is selected from a number of encryption algorithms; encryption algorithms include symmetric encryption algorithms, asymmetric encryption algorithms, and hybrid encryption algorithms; considering the real-time nature and resource consumption of acoustic wave communication, the selected encryption algorithm should be efficient and secure, and at the same time be able to adapt to the characteristics of acoustic wave communication;

[0124] Generate the key required for encryption according to the key length and key generation method provided in the acoustic encryption parameters; for symmetric encryption algorithms, generate a shared key; for asymmetric encryption algorithms, generate a pair of public and private keys, and properly manage these keys to ensure their security and availability;

[0125] The acoustic wave signal to be encrypted shall be preprocessed as necessary, including signal enhancement, noise suppression and data compression, to improve encryption efficiency and reduce data volume; the preprocessing process shall ensure the integrity and authenticity of the acoustic wave signal and avoid introducing additional noise or distortion;

[0126] Convert the preprocessed sound wave signal into a format suitable for encryption, and use the selected encryption algorithm and the generated key to perform encryption operation on the sound wave signal;

[0127] Post-process the encrypted sound wave signal, including adding checksums and encapsulating it into data packets for subsequent transmission and reception; the post-processing process should ensure that the encrypted data is not tampered with or damaged during transmission, and facilitate the correct decryption operation at the receiving end;

[0128] Evaluate the effectiveness of the encrypted sound wave signal, including encryption strength, data integrity, and anti-attack capability testing;

[0129] By comparing with the unencrypted sound wave signal, the impact of the encryption operation on the quality of sound wave communication is verified to ensure that the encrypted sound wave signal can still meet the communication requirements.

[0130] In this step, by selecting a suitable encryption algorithm according to the acoustic wave encryption parameters and generating a corresponding key, it can be ensured that the acoustic wave signal is fully protected during the transmission process; whether a symmetric encryption algorithm, an asymmetric encryption algorithm or a hybrid encryption algorithm is used, it can effectively prevent unauthorized access and eavesdropping, thereby improving the confidentiality and security of acoustic wave communication; the encryption processing in this step takes into account the characteristics of acoustic wave communication in a complex noise environment; through the preprocessing step, the anti-interference ability of the acoustic wave signal can be effectively improved, and the impact of noise on the communication quality can be reduced; at the same time, the selection of the encryption algorithm also takes into account the real-time and resource consumption of acoustic wave communication, ensuring that the encryption process does not introduce additional delays or resource overhead; in the encryption process, by post-processing and effect evaluation of the encrypted acoustic wave signal, it can be ensured that the encryption operation does not have a significant impact on the quality of acoustic wave communication; the post-processing step helps to ensure data integrity and authenticity, and facilitate the correct decryption operation at the receiving end; the effect evaluation verifies the effectiveness and reliability of the encryption operation by testing indicators such as encryption strength, data integrity and anti-attack capability; the encryption processing method in this step is flexible and scalable; with the development of acoustic wave communication technology and changes in the noise environment, the appropriate encryption algorithm and key generation method can be selected by adjusting the acoustic wave encryption parameters to adapt to different communication needs and security requirements; at the same time, the preprocessing and post-processing steps can also be customized and optimized according to actual needs to improve the efficiency and effect of encryption processing; the beneficial effects of this step are that it improves the security of acoustic wave communication, adapts to complex noise environments, ensures the quality of encrypted communication, and has flexibility and scalability; these beneficial effects jointly promote the reliability and security of acoustic wave communication in complex environments, and provide strong support for the widespread application of acoustic wave communication.

[0131] Embodiment 2: Figure 3 As shown, the acoustic wave communication encryption adjustment system based on a noise environment of the present invention specifically includes the following modules;

[0132] A data acquisition module, which acquires the original sound wave communication signal and noise environment data of the sound wave to be encrypted, wherein the original sound wave communication signal and the noise environment data are aligned in time and space;

[0133] A noise feature analysis module performs feature analysis on the noise environment data to obtain a noise environment feature set; the noise environment feature set includes noise time domain features, noise frequency domain features, noise phase features and noise space features;

[0134] The acoustic wave feature extraction module extracts acoustic wave features from the acoustic wave communication original signal based on the noise environment feature set to obtain an acoustic wave influence feature set of the acoustic wave to be encrypted, wherein the acoustic wave influence feature set includes acoustic wave features whose distortion rate is lower than a preset distortion threshold under the noise environment state imposed by the noise environment feature set, indicating acoustic wave features whose transmission is greatly affected under the current noise condition;

[0135] The encryption parameter analysis module inputs the noise environment feature set and the sound wave impact feature set into a pre-built sound wave communication encryption parameter integrated analysis model to obtain sound wave encryption parameters suitable for the current noise environment;

[0136] The encryption processing module performs encryption processing on the sound wave to be encrypted according to the sound wave encryption parameters.

[0137] The system can acquire and analyze noise environment data in real time, including time domain, frequency domain, phase and spatial characteristics, so as to dynamically adjust encryption parameters; enabling the system to maintain stable communication quality and encryption effect in complex noise environments, overcoming the limitation that traditional encryption methods are difficult to adapt to variable noise environments;

[0138] By accurately analyzing the impact of noise on acoustic wave communications, the system can identify and optimize the acoustic wave features that are most affected during transmission, reduce distortion and signal attenuation, and help improve the reliability and stability of communications and reduce the risk of communication interruption. The system intelligently selects the encryption parameters that are most suitable for the current environment based on the noise environment feature set and the acoustic wave impact feature set, which increases the difficulty of cracking and improves data security. By accurately analyzing acoustic wave features and noise environments, the system can more effectively utilize limited communication resources.

[0139] The modular design of the system allows each module to be updated and optimized independently; with the development of acoustic communication technology and noise analysis technology, the system can easily integrate new encryption algorithms, noise analysis models, etc. to maintain its advancement and competitiveness;

[0140] In summary, the acoustic wave communication encryption adjustment system based on the noise environment can effectively deal with the acoustic wave communication problems in complex noise environments by dynamically adjusting the encryption strategy, thereby improving the reliability and security of communication.

[0141] The various variations and specific embodiments of the acoustic wave communication encryption adjustment method based on a noisy environment in the aforementioned embodiment 1 are also applicable to the acoustic wave communication encryption adjustment system based on a noisy environment in this embodiment. Through the aforementioned detailed description of the acoustic wave communication encryption adjustment method based on a noisy environment, those skilled in the art can clearly understand the implementation method of the acoustic wave communication encryption adjustment system based on a noisy environment in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0142] In addition, the present application also provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor. The transceiver, the memory, and the processor are respectively connected via a bus. When the computer program is executed by the processor, each process of the above-mentioned method for controlling output data is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0143] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for adjusting acoustic wave communication encryption based on a noisy environment, characterized in that: The method comprises: Acquire an original sound wave communication signal and noise environment data of the sound wave to be encrypted, wherein the original sound wave communication signal and the noise environment data are aligned in time and space; Performing feature analysis on the noise environment data to obtain a noise environment feature set; the noise environment feature set includes noise time domain features, noise frequency domain features, noise phase features, and noise space features; Based on the noise environment feature set, extracting the sound wave features of the original sound wave communication signal to obtain a sound wave influence feature set of the sound wave to be encrypted, wherein the sound wave influence feature set includes sound wave features whose distortion rate is lower than a preset distortion threshold under the noise environment state imposed by the noise environment feature set; Inputting the noise environment feature set and the sound wave impact feature set into a pre-built sound wave communication encryption parameter integrated analysis model to obtain sound wave encryption parameters suitable for the current noise environment; The sound wave to be encrypted is encrypted according to the sound wave encryption parameter.

2. The method for adjusting the acoustic wave communication encryption based on a noise environment as claimed in claim 1, characterized in that: The method for obtaining the original acoustic wave communication signal and the noise environment data includes: Using an acoustic wave sensor to capture the acoustic wave signal to be encrypted; Preprocess the acquired signals, including filtering and amplification, to eliminate background noise and improve signal quality; Using different sensors to capture noise data in the environment during the same time period; Timestamping the sound wave signal to be encrypted and the noise environment data so that the sound wave signal to be encrypted and the noise environment data are aligned in time and space; The aligned sound wave signal and noise environment data are integrated to obtain the original sound wave communication signal and noise environment data of the sound wave to be encrypted.

3. The method for adjusting the acoustic wave communication encryption based on a noise environment as claimed in claim 1, characterized in that: The method for acquiring the noise environment feature set comprises: Preprocess the noisy environment data, including removing outliers, smoothing and denoising; By calculating the mean, variance, peak, valley and autocorrelation function of the noise signal, the basic characteristics of the noise in the time domain can be obtained; The noise signal is converted from the time domain to the frequency domain through the Fourier transform algorithm to obtain its spectrum characteristics; By calculating the phase spectrum and phase difference of the noise signal, the phase characteristics of the noise can be obtained; Use multiple sensor arrays to capture noisy signals and extract spatial features; The obtained time domain features, frequency domain features, phase features and spatial features are integrated into a noise environment feature set.

4. The method for adjusting the acoustic wave communication encryption based on a noise environment as claimed in claim 1, characterized in that: The method for constructing the acoustic wave communication encryption parameter integrated analysis model comprises: Collect noise environment data and acoustic communication raw signal data; pre-process the collected data, including removing outliers, smoothing and denoising; Selecting a machine learning model as the infrastructure of the acoustic communication encryption parameter integrated analysis model, wherein the machine learning model includes a support vector machine, a neural network, a decision tree, a regression analysis, and a cluster analysis; The processed data is divided into training set, validation set and test set; the training set is used to train the model, the validation set is used to adjust the model parameters, and the test set is used to finally evaluate the model performance; The selected model is trained using the training set, and the prediction error is minimized by adjusting the model parameters; After each training cycle, the validation set is used to evaluate the model performance and adjust the hyperparameters. Use the test set to evaluate the generalization ability of the model; Once the model is trained and validated, it is deployed in actual communication systems as a tool for real-time tuning of encryption parameters.

5. The method for adjusting the acoustic wave communication encryption based on a noise environment as claimed in claim 4, characterized in that: The structure of the acoustic communication encryption parameter integrated analysis model includes: Input layer: used to receive and process data from the outside, including noise environment feature set and sound wave impact feature set; Feature fusion layer: used to fuse the noise environment feature set and the sound wave impact feature set received by the input layer; Analysis and processing layer: used to analyze and adjust encryption parameters based on the fused feature information; Output layer: used to output sound wave encryption parameters suitable for the current noise environment; Feedback and optimization layer: used to collect and analyze the performance of the model in actual applications, and optimize and adjust the model based on the feedback results.

6. The method for adjusting the acoustic wave communication encryption based on a noisy environment as claimed in claim 1, characterized in that: The method for encrypting the sound wave to be encrypted includes: Select an encryption algorithm based on the encryption algorithm type specified in the acoustic encryption parameters; Generate the key required for encryption according to the acoustic wave encryption parameters; Perform necessary preprocessing on the sound wave signal to be encrypted, including signal enhancement, noise suppression and data compression; Convert the preprocessed sound wave signal into a format suitable for encryption, and use the selected encryption algorithm and the generated key to perform encryption operation on the sound wave signal; Post-processing the encrypted sound wave signal, including adding a checksum and encapsulating it into a data packet; Evaluate the effectiveness of the encrypted sound wave signal, including encryption strength, data integrity, and anti-attack capabilities; By comparing with the unencrypted sound wave signal, the impact of encryption operation on the quality of sound wave communication is verified.

7. The method for adjusting the acoustic wave communication encryption based on a noisy environment as claimed in claim 1, characterized in that: The method for obtaining the sound wave impact feature set of the sound wave to be encrypted includes: Evaluate the impact of noise on acoustic signals, determine the degree of signal distortion by calculating the signal-to-noise ratio and mean square error under different noise conditions, and identify acoustic features with low distortion in a noisy environment; Identify key features in acoustic signals, including frequency content, phase information, and amplitude changes; Based on the results of distortion analysis, the sound wave features that can still maintain high recognizability in a given noise environment are screened out; The filtered features are combined into a sound wave impact feature set.

8. A sound wave communication encryption adjustment system based on a noisy environment, characterized in that: The system comprises: A data acquisition module, which acquires the original sound wave communication signal and noise environment data of the sound wave to be encrypted, wherein the original sound wave communication signal and the noise environment data are aligned in time and space; A noise feature analysis module performs feature analysis on the noise environment data to obtain a noise environment feature set; the noise environment feature set includes noise time domain features, noise frequency domain features, noise phase features and noise space features; The acoustic wave feature extraction module extracts acoustic wave features from the acoustic wave communication original signal based on the noise environment feature set to obtain an acoustic wave influence feature set of the acoustic wave to be encrypted, wherein the acoustic wave influence feature set includes acoustic wave features whose distortion rate is lower than a preset distortion threshold under the noise environment state imposed by the noise environment feature set, indicating acoustic wave features whose transmission is greatly affected under the current noise condition; The encryption parameter analysis module inputs the noise environment feature set and the sound wave impact feature set into a pre-built sound wave communication encryption parameter integrated analysis model to obtain sound wave encryption parameters suitable for the current noise environment; The encryption processing module performs encryption processing on the sound wave to be encrypted according to the sound wave encryption parameters.

9. An electronic device for adjusting acoustic wave communication encryption based on a noise environment, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, characterized in that: When the computer program is executed by the processor, the steps in the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the method according to any one of claims 1 to 7 are implemented.

Images