A wireless electronic countermeasure information encryption method

Abstract

The present invention discloses an information encryption method for wireless electronic confrontation, and relates to the field of wireless transmission technology. The present invention can accurately judge whether the channel meets the communication quality requirements by real-time monitoring of the wireless channel state and establishing a channel quality assessment model, combining an adaptive frequency adjustment algorithm and cognitive radio technology, effectively avoiding the influence of interference and attack on communication, ensuring the continuity and stability of the communication process, and significantly improving the adaptability and reliability of the communication system in a complex electromagnetic environment. The quantum key generated by the encryption communication protocol based on quantum key distribution ensures the extremely high security of the key, making it difficult for the communication data to be cracked during the encrypted transmission process, effectively resisting security threats such as eavesdropping and tampering, and then through the key pre-distribution mechanism and key update process, the insufficient key distribution rate and potential security risks are dealt with, and the security of communication is further enhanced to ensure the confidentiality and integrity of information transmission.

Description

Technical Field

[0001] The invention relates to the technical field of wireless transmission, in particular to an information encryption method for wireless electronic countermeasures. Background Art

[0002] The complexity and variability of the electromagnetic environment directly affects the quality and availability of wireless channels, making traditional fixed frequencies and transmission parameters difficult to adapt and vulnerable to interference and attacks. Security threats such as eavesdropping and tampering are ubiquitous in open wireless environments, and traditional encryption methods are difficult to resist new attack methods such as quantum computing. Summary of the invention

[0003] The purpose of the present invention is to provide an information encryption method for wireless electronic countermeasures, to solve the security and reliability problems of electronic countermeasure communications in a complex and changeable wireless channel environment, to effectively resist interference and attacks, and to ensure the confidentiality and integrity of information transmission.

[0004] The purpose of the present invention can be achieved through the following technical solutions:

[0005] The present application provides an information encryption method for wireless electronic countermeasures, comprising the following steps:

[0006] Obtain the real-time status data of the current wireless channel, establish a channel quality assessment model, and determine whether the current channel meets the preset communication quality threshold. If it is lower than the threshold, start the adaptive frequency adjustment algorithm;

[0007] Adopting adaptive frequency adjustment algorithm to monitor and analyze channel quality data in real time, dynamically selecting the optimal communication frequency band, obtaining the optimized communication frequency band, and then generating quantum key pairs based on the encryption communication protocol of quantum key distribution;

[0008] These include:

[0009] Obtain a list of currently available communication frequency bands, collect channel quality data for each frequency band, and determine the communication quality of each frequency band based on a preset threshold;

[0010] The frequency bands with communication quality higher than the threshold are taken as candidate frequency bands, and the candidate frequency bands are grouped by using fuzzy clustering algorithm to obtain the optimal frequency band combination;

[0011] After determining the optimal frequency band combination, the combination information is sent to the transmitter and receiver. Both parties dynamically adjust the communication frequency according to the frequency band combination and perform adaptive frequency adjustment.

[0012] Based on the generation rate of quantum key pairs and the amount of communication data, it is determined whether the key distribution meets the real-time requirements. When the key distribution rate is insufficient, the key pre-distribution mechanism is activated to pre-distribute some keys in the secure channel and combine them with the real-time generated quantum keys to form a complete encryption key sequence for encrypting and decrypting communication data.

[0013] Furthermore, real-time status data of the current wireless channel is obtained, a channel quality assessment model is established, and it is determined whether the current channel meets a preset communication quality threshold, including:

[0014] Acquire real-time status data of wireless channels, including signal strength, noise level and interference source distribution parameters, establish a channel quality assessment model based on the acquired real-time status data, and use a statistical method to calculate channel quality indicators to assess the communication quality of the current channel;

[0015] The communication quality of the current channel is compared with the preset quality threshold to determine whether the current channel meets the communication quality requirements. If the communication quality of the current channel is lower than the preset threshold, the adaptive frequency adjustment algorithm is triggered to dynamically adjust the communication frequency according to the channel status.

[0016] Furthermore, the quantum key is generated based on the encryption communication protocol of quantum key distribution, including:

[0017] Using the quantum key distribution protocol, a random quantum state sequence is generated at the transmitter as the key, and transmitted to the receiver through the quantum channel. The receiver measures the received quantum state, agrees on the measurement basis with the transmitter, and selects the completely relevant measurement results to form the key original data.

[0018] The original key data is corrected and privacy amplified to obtain a secure final quantum key, which is then used to encrypt communication data. The transmitter encrypts the data using the key and sends it through the selected optimal communication frequency band. The receiver uses the same key to decrypt the data.

[0019] Furthermore, after adopting the adaptive frequency adjustment algorithm to monitor and analyze the channel quality data in real time and dynamically select the optimal communication frequency band, it also includes: predicting the channel quality change trend by introducing a machine learning algorithm;

[0020] Among them, the machine learning algorithm is used to train the historical channel quality data, learn the change pattern of channel quality data over time and the relationship with the interference source, and build a channel quality prediction model; and in the real-time communication process, the currently acquired channel status data is input into the channel quality prediction model to predict the change trend of channel quality in the future period of time; according to the prediction results, it is judged in advance whether the channel quality will decline or the interference source will increase. When it is predicted that the channel quality will be lower than the preset threshold, the adaptive frequency adjustment algorithm is used to actively switch to the frequency band with high communication quality before interference occurs.

[0021] Furthermore, after the quantum key is generated in the encryption communication protocol based on quantum key distribution, it also includes: according to the quantum key distribution protocol, transmitting a photon sequence through a quantum channel, encoding the quantum state to realize the original key distribution, and then using the continuous variable quantum key distribution technology, using coherent state light as an information carrier, and modulating and encoding the orthogonal components of the coherent state through Gaussian modulation; then constructing a secure quantum key distribution protocol through non-Gaussian states and entangled states, and then using the continuous variable characteristics of light, through continuous modulation of phase and amplitude, long-distance quantum key distribution is carried out, and adaptive compensation technology and error correction coding methods are used to distribute quantum keys in complex channel environments.

[0022] Furthermore, when the key distribution rate is insufficient, the key pre-distribution mechanism is activated to pre-distribute part of the key in the secure channel, and combine it with the real-time generated quantum key to form a complete encryption key sequence for encryption and decryption of communication data, including:

[0023] Monitor the quantum key generation rate and the amount of communication data. When the distribution rate is detected to be lower than the preset threshold, trigger the key pre-distribution mechanism to pre-distribute a certain number of backup keys to the communicating parties through a secure channel as part of the key sequence.

[0024] Then, the real-time quantum key is continuously generated and combined with the pre-distributed backup key to form a complete encryption key sequence. The ratio of the pre-distributed key and the real-time quantum key in the key sequence is dynamically adjusted according to the characteristics of the communication data and the security level requirements.

[0025] The generated encryption key sequence is used to encrypt the communication data to be transmitted, and at the receiving end, the encrypted data is decrypted using the same key sequence as the sending end to restore the original communication content;

[0026] By comparing the key sequences of the sender and receiver, the synchronization of key distribution is verified.

[0027] During data transmission, cognitive radio technology is used to monitor channel changes in real time and obtain the monitoring results of cognitive radio. When new interference or attack is detected, frequency switching and key update are triggered.

[0028] Furthermore, through cognitive radio technology, channel changes are monitored in real time to obtain cognitive radio monitoring results. When new interference or attack is detected, frequency switching and key update are triggered, including:

[0029] According to the preset channel quality threshold, determine whether the current channel quality is lower than the threshold. If so, it is considered that there is interference or attack, triggering the frequency switching and key update process;

[0030] Then obtain the currently available candidate channel list, and use the weighted scoring algorithm to calculate the comprehensive quality score of each candidate channel based on the channel's historical quality score, current quality monitoring results and other parameters. Then sort the candidate channels from high to low according to the comprehensive quality score, select the channel with the highest score as the switching target, and trigger the key update process at the same time;

[0031] According to the preset key update strategy, a key derivation algorithm is used to generate a new session key based on the current key and the random number seed; the new session key is distributed to both parties of the communication through a secure channel to complete the key update;

[0032] After the frequency switching and key update are completed, the channel quality is re-evaluated. If it is still below the threshold, the frequency switching and key update process is re-triggered until the channel quality returns to normal. By continuously monitoring the changes in channel quality, when the channel quality improves and stabilizes for a certain period of time, it is triggered to switch back to the original channel and resume using the original key.

[0033] The parameters of quantum key distribution are dynamically adjusted according to the monitoring results of cognitive radio to achieve seamless integration and performance optimization. Then, through real-time evaluation of performance and security, it is determined whether the current communication system has reached the preset performance-security balance point.

[0034] Furthermore, the parameters of quantum key distribution are dynamically adjusted according to the monitoring results of cognitive radio to achieve seamless integration and performance optimization. Then, through real-time evaluation of performance and security, it is determined whether the current communication system has reached the preset performance-security balance point, including:

[0035] Obtain real-time monitoring result data of cognitive radio, analyze relevant parameters of quantum key distribution, and determine whether dynamic adjustment of quantum key distribution parameters is required based on preset performance security balance point thresholds;

[0036] When adjustment is needed, the association rule mining algorithm is used according to the association rules between cognitive radio monitoring results and quantum key distribution parameters to obtain the quantum key distribution parameter values ​​that need to be adjusted;

[0037] The adjusted quantum key distribution parameters are applied to the quantum key distribution process, and the optimized communication system performance and security evaluation results are obtained through the collaborative work of cognitive radio and quantum key distribution technology.

[0038] Furthermore, based on the performance and security evaluation results, a multi-objective optimization algorithm is used to dynamically optimize the relevant parameters of the communication system with the preset performance-security balance point as the optimization target, and to achieve the optimal performance-security balance state;

[0039] The optimized communication system parameter configuration is then applied to the cognitive radio and quantum key distribution process. Through real-time monitoring and dynamic adjustment, the performance and security of the communication system are kept near the preset balance point.

[0040] Based on the new data collected during the operation of the communication system, an incremental learning algorithm is used to update and improve it, continuously maintain the optimal performance-security balance state, and regularly evaluate and adjust the preset performance-security balance point thresholds, and timely integrate the latest cognitive radio and quantum key distribution technologies.

[0041] The beneficial effects of the present invention are:

[0042] By real-time monitoring of the wireless channel status and establishing a channel quality assessment model, combined with an adaptive frequency adjustment algorithm and cognitive radio technology, it is possible to accurately determine whether the channel meets the communication quality requirements, and quickly adjust the communication frequency or switch to a better channel when the channel quality is lower than the preset threshold, effectively avoiding the impact of interference and attacks on communication, ensuring the continuity and stability of the communication process, and significantly improving the adaptability and reliability of the communication system in complex electromagnetic environments, so that communications can maintain efficient and stable operation in various complex environments;

[0043] The quantum key generated by the encryption communication protocol based on quantum key distribution uses the non-cloning and uncertainty principles of quantum mechanics to ensure the extremely high security of the key. Even in an open wireless environment, the communication data is difficult to be cracked during the encrypted transmission process, effectively resisting security threats such as eavesdropping and tampering. In addition, through the key pre-distribution mechanism and key update process, it can promptly respond to insufficient key distribution rate and potential security risks, further enhancing the security of communication, ensuring the confidentiality and integrity of information transmission, and providing strong technical support for communication scenarios with high security requirements such as wireless electronic confrontation;

[0044] By dynamically adjusting the parameters of quantum key distribution based on the monitoring results of cognitive radio and combining it with real-time evaluation of performance and security, it is possible to ensure the collaborative work of cognitive radio and quantum key distribution technology, achieve seamless integration and performance optimization, and dynamically optimize the relevant parameters of the communication system based on the performance-safety balance point threshold using a multi-objective optimization algorithm to enable the system to achieve the optimal performance-safety balance state. At the same time, the association rules and optimization models are continuously updated and improved through incremental learning algorithms, so that the system can adapt to environmental changes and continue to remain near the preset balance point, ensuring that the communication system always meets business goals and integrates the latest technologies in a timely manner to maintain the system's advancement and practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] For better understanding and implementation, the technical solution of the present application is described in detail below with reference to the accompanying drawings.

[0046] Figure 1 A flowchart of a wireless electronic countermeasure information encryption method provided in this application;

[0047] Figure 2 A schematic diagram of a flow chart of establishing a channel quality assessment model for judging communication quality requirements in a wireless electronic countermeasure information encryption method provided in the present application;

[0048] Figure 3 A flow chart of a wireless electronic countermeasure information encryption method provided in the present application for real-time monitoring and analysis of channel quality data through an adaptive frequency adjustment algorithm. DETAILED DESCRIPTION

[0049] In order to further explain the technical means and effects taken by the present invention to achieve the predetermined invention purpose, exemplary embodiments will be described in detail here, and examples thereof are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are only examples of methods and systems consistent with some aspects of the present application as detailed in the attached claims.

[0050] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms of "a", "said" and "the" used in this application and the appended claims are also intended to include plural forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0051] The specific implementation methods, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0052] See also Figure 1-Figure 3 This embodiment provides an information encryption method for wireless electronic countermeasures, comprising the following steps:

[0053] S1. Obtain the real-time status data of the current wireless channel, establish a channel quality assessment model, and determine whether the current channel meets the preset communication quality threshold. If it is lower than the threshold, start the adaptive frequency adjustment algorithm;

[0054] Furthermore, real-time status data of the current wireless channel is obtained, a channel quality assessment model is established, and it is determined whether the current channel meets a preset communication quality threshold, including:

[0055] S11, obtaining real-time status data of the wireless channel, including signal strength, noise level and interference source distribution parameters, establishing a channel quality assessment model based on the acquired real-time status data, and calculating the channel quality index using a statistical method to assess the communication quality of the current channel;

[0056] S12. Compare the communication quality of the current channel with a preset quality threshold to determine whether the current channel meets the communication quality requirements. If the communication quality of the current channel is lower than the preset threshold, trigger the adaptive frequency adjustment algorithm to dynamically adjust the communication frequency according to the channel status.

[0057] Specifically, by real-time monitoring of the wireless channel status and establishing a channel quality assessment model, it is possible to accurately determine whether the channel meets the communication quality requirements. When the channel quality is lower than the preset threshold, the adaptive frequency adjustment algorithm can be quickly started and dynamically switched to a better frequency band, thereby effectively avoiding interference and ensuring the continuity and stability of communication, significantly improving the adaptability and reliability of the communication system in complex electromagnetic environments.

[0058] S2, using adaptive frequency adjustment algorithm to monitor and analyze channel quality data in real time, dynamically select the optimal communication frequency band, avoid interference sources, improve channel quality, obtain the optimized communication frequency band, and then generate quantum key pairs based on the encryption communication protocol of quantum key distribution for subsequent data transmission encryption;

[0059] Furthermore, an adaptive frequency adjustment algorithm is used to monitor and analyze channel quality data in real time, dynamically select the optimal communication frequency band, avoid interference sources, and improve channel quality. The optimized communication frequency bands include:

[0060] S21. Obtain a list of currently available communication frequency bands, and collect channel quality data for each frequency band, including indicators such as signal-to-noise ratio and bit error rate, and determine the communication quality of each frequency band according to a preset threshold;

[0061] S22, taking the frequency bands with communication quality higher than the threshold as candidate frequency bands, and applying the fuzzy clustering algorithm to group the candidate frequency bands to obtain the optimal frequency band combination;

[0062] S23. After determining the optimal frequency band combination, the combination information is sent to the transmitting end and the receiving end. Both parties dynamically adjust the communication frequency according to the frequency band combination and perform adaptive frequency adjustment.

[0063] Furthermore, the quantum key is generated based on the encryption communication protocol of quantum key distribution, including:

[0064] Using the quantum key distribution protocol, a random quantum state sequence is generated at the transmitter as the key, and transmitted to the receiver through the quantum channel. The receiver measures the received quantum state, agrees on the measurement basis with the transmitter, and selects the completely relevant measurement results to form the key original data.

[0065] The original key data is corrected and privacy amplified to obtain a secure final quantum key, which is then used to encrypt communication data. The transmitter encrypts the data with the key and sends it through the selected optimal communication frequency band. The receiver uses the same key to decrypt the data to achieve secure communication.

[0066] Specifically, by using an adaptive frequency adjustment algorithm to monitor and analyze channel quality data in real time and dynamically selecting the optimal communication frequency band, interference sources can be effectively avoided and channel quality can be significantly improved, thereby obtaining an optimized communication frequency band, which provides a more stable and reliable channel foundation for subsequent data transmission. At the same time, the quantum key generated by the encrypted communication protocol based on quantum key distribution uses the non-cloning and uncertainty principles of quantum mechanics to ensure the extremely high security of the key, making it difficult for communication data to be cracked during encrypted transmission, and achieving secure communication in complex electromagnetic environments. This method of combining dynamic frequency band optimization and quantum encryption not only improves the stability and security of communications, but also provides strong technical support for communication scenarios with high security requirements such as wireless electronic confrontation.

[0067] Among them, the adaptive frequency adjustment algorithm is a key technology to optimize the performance of the communication system. It dynamically selects the best communication frequency band by monitoring channel quality data such as signal-to-noise ratio and bit error rate in real time.

[0068] For example, in a complex urban environment, the communication system may face multiple interference sources, such as electromagnetic radiation, building reflections, etc. The algorithm will continuously evaluate the performance of available frequency bands and screen out high-quality frequency bands based on preset thresholds. If it is detected that the 2.4GHz band is severely interfered and the 5GHz band is relatively clear, it will automatically switch to the 5GHz band to ensure communication quality. The fuzzy clustering algorithm plays an important role in frequency band selection. It can classify frequency bands with similar performance to form an optimal frequency band combination. For example, in a communication process, the algorithm may group the three adjacent and similar performance frequency bands of 3.5GHz, 3.7GHz and 3.9GHz into a group as alternative frequency bands. This grouping method not only improves the spectrum utilization efficiency, but also enhances the system's adaptability to interference.

[0069] Quantum key distribution (QKD) is a cutting-edge technology to ensure communication security. In the QKD process, the transmitter may use polarization encoding to generate a random quantum state sequence. For example, horizontal polarization represents "0" and vertical polarization represents "1". The receiver uses the corresponding measurement basis for detection. Suppose the transmitter sends a string of quantum states "↑→↗↖", and the receiver obtains "1010" after measurement. The two parties compare the measurement basis through the public channel, eliminate inconsistent results, and finally obtain the original key.

[0070] Key error correction and privacy amplification are key steps to ensure the security of the final key. The error correction process can adopt a cascade protocol to eliminate errors in the transmission process through multiple rounds of verification and correction. Privacy amplification can use a universal hash function to compress the original key into a shorter but more secure final key.

[0071] For example, a 1000-bit original key may be processed into a 500-bit security key. When applying quantum keys to actual communications, a one-time-one-pad encryption method can be adopted. Assuming that the message "HELLO" needs to be sent, the system first converts it into binary form "0100100001000101010011001001100001001111", and then performs an XOR operation with a quantum key of equal length to obtain the ciphertext. The receiving end uses the same key to decrypt and restore the original message.

[0072] This method is unconditionally secure. Even if an attacker intercepts the ciphertext, it cannot be cracked without the correct key. Combined with adaptive frequency adjustment and quantum key distribution, the communication system can achieve efficient and secure data transmission in complex environments. For example, in a telemedicine consultation, the 2.6GHz band of 4GLTE may be selected for communication first, but when a strong interference source is detected nearby, it will quickly switch to the 3.5GHz band of 5GNR. At the same time, quantum key distribution ensures the absolute security of the patient's sensitive information, which will not be leaked even during the frequency band switching process. This comprehensive application greatly improves the reliability and security of the communication system and provides strong support for various key applications.

[0073] Furthermore, after adopting the adaptive frequency adjustment algorithm to monitor and analyze the channel quality data in real time and dynamically select the optimal communication frequency band, it also includes: introducing a machine learning algorithm to predict the channel quality change trend and make frequency adjustments in advance to reduce communication interruptions caused by frequent switching;

[0074] Specifically, it includes: using machine learning algorithms to train historical channel quality data, learning how channel quality data (such as signal-to-noise ratio, bit error rate, etc.) change over time and its relationship with interference sources, and building a channel quality prediction model; and in the real-time communication process, inputting the currently acquired channel status data into the channel quality prediction model to predict the changing trend of channel quality in the future; based on the prediction results, judging in advance whether the channel quality will decline or whether the interference source will increase. When it is predicted that the channel quality will be lower than the preset threshold, before interference occurs, the adaptive frequency adjustment algorithm is used to actively switch to other frequency bands with higher communication quality, thereby avoiding communication interruptions caused by sudden changes in channel quality and ensuring the continuity and stability of communication.

[0075] Specifically, by introducing a machine learning algorithm to predict the trend of channel quality changes and combining it with an adaptive frequency adjustment algorithm, the problem of frequent wireless communication interruptions in complex electromagnetic environments can be effectively solved. This not only reduces frequent switching and communication interruptions caused by sudden changes in channel quality, but also improves the continuity and stability of communication, ensuring the quality of wireless communication in complex electromagnetic environments.

[0076] Furthermore, after the quantum key is generated in the encryption communication protocol based on quantum key distribution, it also includes: according to the quantum key distribution protocol, transmitting a photon sequence through a quantum channel, encoding the quantum state to realize the original key distribution, and then using the continuous variable quantum key distribution technology, using coherent state light as an information carrier, and modulating and encoding the orthogonal components of the coherent state through Gaussian modulation; then constructing a more secure quantum key distribution protocol through non-Gaussian states and entangled states to improve the security performance of the system, and then using the continuous variable characteristics of light to realize quantum key distribution over a longer distance through continuous modulation of phase and amplitude, and using adaptive compensation technology and error correction coding methods to distribute quantum keys in complex channel environments to ensure reliable transmission of keys.

[0077] Specifically, combined with the continuous variable quantum key distribution (CV-QKD) technology, after the quantum key is generated by the encryption communication protocol based on quantum key distribution, it can effectively solve the problem of reduced security of traditional quantum key distribution in long-distance transmission and complex channel environments. By using the continuous variable characteristics of coherent state light for Gaussian modulation encoding, and introducing non-Gaussian states and entangled states to build a more secure protocol, CV-QKD technology has greatly improved the transmission distance and anti-interference ability of quantum key distribution, and achieved secure key distribution over longer distances and under complex channel conditions; at the same time, the use of adaptive compensation technology and error correction coding methods further ensures the reliability of the key during transmission, reduces the bit error rate, and ensures the security and stability of communication, thereby providing more reliable key support for information encryption in communication scenarios with high security requirements such as wireless electronic confrontation.

[0078] S3. According to the generation rate of quantum key pairs and the amount of communication data, determine whether the key distribution meets the real-time requirements. When the key distribution rate is insufficient, start the key pre-distribution mechanism to pre-distribute part of the key in the secure channel, and combine it with the real-time generated quantum key to form a complete encryption key sequence for encryption and decryption of communication data, ensuring the synchronization and efficiency of key distribution;

[0079] Furthermore, when the key distribution rate is insufficient, the key pre-distribution mechanism is activated to pre-distribute part of the key in the secure channel, and combine it with the real-time generated quantum key to form a complete encryption key sequence for encryption and decryption of communication data, including:

[0080] Monitor the quantum key generation rate and communication data volume. When the distribution rate is detected to be lower than the preset threshold, trigger the key pre-distribution mechanism to pre-distribute a certain number of backup keys to the communicating parties through a secure channel as part of the key sequence.

[0081] Then, the real-time quantum key is continuously generated and combined with the pre-distributed backup key to form a complete encryption key sequence. The ratio of the pre-distributed key and the real-time quantum key in the key sequence is dynamically adjusted according to the characteristics of the communication data and the security level requirements.

[0082] The generated encryption key sequence is used to encrypt the communication data to be transmitted to ensure the confidentiality of the data, and at the receiving end, the encrypted data is decrypted using the same key sequence as the sending end to restore the original communication content;

[0083] By comparing the key sequences of the sender and receiver, the synchronization of key distribution is verified to ensure that the keys used by both communicating parties are consistent.

[0084] Specifically, by monitoring the quantum key generation rate and the amount of communication data, the key pre-distribution mechanism is activated when the key distribution rate is insufficient, partial keys are pre-distributed in the secure channel, and combined with the real-time generated quantum keys to form a complete encryption key sequence, which can effectively solve the real-time key distribution problem under the conditions of high communication data volume and low key generation rate. This method ensures the synchronization and efficiency of key distribution, so that communication data can be encrypted and decrypted in a timely and secure manner, thereby ensuring the continuity and security of communication.

[0085] S4. During data transmission, the channel changes are monitored in real time through cognitive radio technology to obtain the monitoring results of cognitive radio. When new interference or attack is detected, frequency switching and key update are triggered.

[0086] Furthermore, through cognitive radio technology, channel changes are monitored in real time to obtain cognitive radio monitoring results. When new interference or attack is detected, frequency switching and key update are triggered, including:

[0087] According to the preset channel quality threshold, determine whether the current channel quality is lower than the threshold. If so, it is considered that there is interference or attack, triggering the frequency switching and key update process;

[0088] Then obtain the currently available candidate channel list, and use the weighted scoring algorithm to calculate the comprehensive quality score of each candidate channel based on the channel's historical quality score, current quality monitoring results and other parameters. Then sort the candidate channels from high to low according to the comprehensive quality score, select the channel with the highest score as the switching target, and trigger the key update process at the same time;

[0089] According to the preset key update strategy, a key derivation algorithm is used to generate a new session key based on the current key and the random number seed; the new session key is distributed to both parties of the communication through a secure channel to complete the key update, and subsequent communications are encrypted using the new key;

[0090] After the frequency switching and key update are completed, the channel quality is re-evaluated. If it is still below the threshold, the frequency switching and key update process is re-triggered until the channel quality returns to normal. By continuously monitoring the channel quality changes, when it is detected that the channel quality has significantly improved and has remained stable for a certain period of time, it can be triggered to switch back to the original channel and resume using the original key to reduce the overhead caused by frequent switching.

[0091] Specifically, cognitive radio technology can monitor channel changes in real time and trigger frequency switching and key updates when new interference or attacks are detected, which can effectively respond to dynamically changing electromagnetic environments and potential security threats. This method ensures the continuity and security of the communication process, improves the system's anti-interference and anti-attack capabilities by intelligently selecting the optimal channel and updating the key in a timely manner, and reduces the overhead caused by frequent switching through dynamic adjustment and optimization, thereby improving the overall performance and reliability of the communication system.

[0092] S5. Dynamically adjust the parameters of quantum key distribution based on the monitoring results of cognitive radio to ensure the collaborative work of the two technologies, achieve seamless integration and performance optimization, and then determine whether the current communication system has reached the preset performance-security balance point through real-time evaluation of performance and security.

[0093] Furthermore, the parameters of quantum key distribution are dynamically adjusted according to the monitoring results of cognitive radio to ensure the collaboration of the two technologies, achieve seamless integration and performance optimization, and then through real-time evaluation of performance and security, determine whether the current communication system has reached the preset performance and security balance point, including:

[0094] Obtain real-time monitoring result data of cognitive radio, analyze relevant parameters of quantum key distribution, and determine whether dynamic adjustment of quantum key distribution parameters is required based on preset performance security balance point thresholds;

[0095] When adjustment is needed, the association rule mining algorithm is used according to the association rules between cognitive radio monitoring results and quantum key distribution parameters to obtain the quantum key distribution parameter values ​​that need to be adjusted;

[0096] The adjusted quantum key distribution parameters are applied to the quantum key distribution process, and the optimized communication system performance and security evaluation results are obtained through the collaborative work of cognitive radio and quantum key distribution technology.

[0097] Furthermore, based on the performance and security evaluation results, a multi-objective optimization algorithm is used to dynamically optimize the relevant parameters of the communication system with the preset performance-security balance point as the optimization target, so that the system can achieve the optimal performance-security balance state;

[0098] The optimized communication system parameter configuration is then applied to the cognitive radio and quantum key distribution process. Through real-time monitoring and dynamic adjustment, the performance and security of the communication system are kept near the preset balance point.

[0099] Based on the new data collected during the operation of the communication system, an incremental learning algorithm is used to update and improve the existing association rules, optimization models, etc., so that the system can adapt to environmental changes and continuously maintain the optimal performance-safety balance state. The preset performance-safety balance point thresholds are regularly evaluated and adjusted to ensure that the communication system always meets business goals and timely integrates the latest cognitive radio and quantum key distribution technologies to maintain the system's advancement and practicality.

[0100] Specifically, by dynamically adjusting the parameters of quantum key distribution according to the monitoring results of cognitive radio, combined with real-time evaluation of performance and security, it is possible to ensure the collaborative work of cognitive radio and quantum key distribution technology, achieve seamless integration and performance optimization; this method enables the communication system to automatically adjust and optimize parameters according to real-time monitoring data and preset performance-security balance point thresholds, thereby achieving the optimal performance-security balance state. At the same time, the association rules and optimization models are continuously updated and improved through incremental learning algorithms, so that the system can adapt to environmental changes and continue to stay near the preset balance point, ensuring that the communication system always meets business goals, and timely integrates the latest technologies to maintain the advancement and practicality of the system.

[0101] This embodiment monitors the wireless channel status in real time and establishes a channel quality assessment model, combines an adaptive frequency adjustment algorithm and cognitive radio technology, can accurately determine whether the channel meets the communication quality requirements, and quickly adjusts the communication frequency or switches to a better channel when the channel quality is lower than a preset threshold, effectively avoiding the impact of interference and attacks on communication, ensuring the continuity and stability of the communication process, and significantly improving the adaptability and reliability of the communication system in complex electromagnetic environments, so that the communication can maintain efficient and stable operation in various complex environments; the quantum key generated by the encryption communication protocol based on quantum key distribution uses the non-cloning and uncertainty principles of quantum mechanics to ensure the extremely high security of the key. Even in an open wireless environment, the communication data is difficult to be cracked during the encrypted transmission process, effectively resisting security threats such as eavesdropping and tampering. In addition, through the key pre-distribution mechanism and key update process, it is possible to respond to insufficient key distribution rate and potential security risks in a timely manner, further enhance the security of communications, ensure the confidentiality and integrity of information transmission, and provide strong technical support for communication scenarios with high security requirements such as wireless electronic confrontation; through the monitoring results of cognitive radio, the parameters of quantum key distribution are dynamically adjusted, and combined with real-time evaluation of performance and security, it is possible to ensure the collaborative work of cognitive radio and quantum key distribution technology, achieve seamless integration and performance optimization, and according to the performance-safety balance point threshold, a multi-objective optimization algorithm is used to dynamically optimize the relevant parameters of the communication system so that the system reaches the optimal performance-safety balance state, thereby achieving efficient, safe and stable operation of communications in complex electromagnetic environments, and providing solid technical support for key communication tasks such as wireless electronic confrontation.

[0102] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A wireless electronic countermeasure information encryption method, characterized in that: The steps include: Obtain the real-time status data of the current wireless channel, establish a channel quality assessment model, and determine whether the current channel meets the preset communication quality threshold. If it is lower than the threshold, start the adaptive frequency adjustment algorithm; Adopting adaptive frequency adjustment algorithm to monitor and analyze channel quality data in real time, dynamically selecting the optimal communication frequency band combination, and then generating quantum key pairs based on the encryption communication protocol of quantum key distribution; According to the generation rate of quantum key pairs and the amount of communication data, it is judged whether the key distribution meets the real-time requirements. When the key distribution rate is insufficient, the key pre-distribution mechanism is activated to form a complete encryption key sequence in combination with the quantum key pairs generated in real time; The dynamically selecting the optimal communication frequency band combination includes: Obtain the current communication frequency band list, collect the channel quality data of each frequency band, and judge the communication quality of each frequency band according to the preset threshold; take the frequency bands with communication quality higher than the threshold as candidate frequency bands, apply the fuzzy clustering algorithm to group the candidate frequency bands, and obtain the optimal communication frequency band combination; send the information of the optimal communication frequency band combination to the transmitting end and the receiving end; The generating of a quantum key pair comprises: Using the quantum key distribution protocol, a random quantum state sequence is generated at the transmitting end as a key, which is transmitted to the receiving end through a quantum channel. The receiving end measures the received quantum state, agrees on a measurement basis with the transmitting end, and screens out completely correlated measurement results to form the key original data. The key original data is error corrected and privacy amplified to obtain a secure final quantum key pair.

2. The information encryption method for wireless electronic countermeasures according to claim 1, characterized in that: The starting of the adaptive frequency adjustment algorithm comprises: Acquire real-time status data of wireless channels, including signal strength, noise level and interference source distribution parameters, establish a channel quality assessment model based on the acquired real-time status data, and use a statistical method to calculate channel quality indicators to assess the communication quality of the current channel; The communication quality of the current channel is compared with the preset quality threshold to determine whether the current channel meets the communication quality requirements. If the communication quality of the current channel is lower than the preset threshold, the adaptive frequency adjustment algorithm is triggered to dynamically adjust the communication frequency according to the channel status.

3. The information encryption method for wireless electronic countermeasures according to claim 1, characterized in that: The dynamically selecting the optimal communication frequency band combination also includes: The channel quality change trend is predicted by introducing machine learning algorithms, including: The machine learning algorithm is used to train historical channel quality data, learn the change pattern of channel quality data over time and its relationship with interference sources, and build a channel quality prediction model. In the real-time communication process, the currently acquired channel status data is input into the channel quality prediction model to predict the change trend of channel quality in the future. According to the prediction results, it is judged in advance whether the channel quality will decline or the interference source will increase. When it is predicted that the channel quality will be lower than the preset threshold, the adaptive frequency adjustment algorithm is used to actively switch to the frequency band with high communication quality before interference occurs.

4. The information encryption method for wireless electronic countermeasures according to claim 1, characterized in that: The generating of the quantum key pair further comprises: According to the quantum key distribution protocol, a photon sequence is transmitted through a quantum channel, and the quantum state is encoded to realize the original key distribution. Then, the continuous variable quantum key distribution technology is adopted, and the coherent state light is used as the information carrier. The orthogonal components of the coherent state are modulated and encoded through Gaussian modulation. Then, a secure quantum key distribution protocol is constructed through non-Gaussian states and entangled states. Then, the continuous variable characteristics of light are used to carry out long-distance quantum key distribution through continuous modulation of phase and amplitude. Adaptive compensation technology and error correction coding methods are used to distribute quantum key pairs in complex channel environments.

5. The information encryption method for wireless electronic countermeasures according to claim 1, characterized in that: The startup key pre-distribution mechanism specifically includes: Monitor the quantum key pair generation rate and the amount of communication data. When the distribution rate is detected to be lower than the preset threshold, trigger the key pre-distribution mechanism to pre-distribute a certain number of backup keys to the communicating parties through a secure channel as part of the key sequence. Then continuously generate real-time quantum key pairs and combine them with pre-distributed backup keys to form a complete encryption key sequence. According to the characteristics of the communication data and the security level requirements, dynamically adjust the ratio of pre-distributed keys and real-time quantum key pairs in the key sequence; The generated encryption key sequence is used to encrypt the communication data to be transmitted, and at the receiving end, the encrypted data is decrypted using the same key sequence as the sending end to restore the original communication content; By comparing the key sequences of the sender and receiver, the synchronization of key distribution is verified.

6. The information encryption method for wireless electronic countermeasures according to claim 1, characterized in that: Also includes: During data transmission, cognitive radio technology is used to monitor channel changes in real time and obtain the monitoring results of cognitive radio. When new interference or attack is detected, frequency switching and key update are triggered.

7. The information encryption method for wireless electronic countermeasures according to claim 6, characterized in that: The triggering frequency switching and key updating comprises: According to the preset channel quality threshold, determine whether the current channel quality is lower than the threshold. If so, it is considered that there is interference or attack, triggering the frequency switching and key update process; Then obtain the current candidate channel list, and use a weighted scoring algorithm to calculate the comprehensive quality score of each candidate channel based on the channel's historical quality score and current quality monitoring result parameters. Then sort the candidate channels from high to low according to the comprehensive quality score, select the channel with the highest score as the switching target, and trigger the key update process at the same time; According to the preset key update strategy, a key derivation algorithm is used to generate a new session key based on the current key and the random number seed; the new session key is distributed to both parties of the communication through a secure channel to complete the key update; After the frequency switching and key update are completed, the channel quality is re-evaluated. If it is still below the threshold, the frequency switching and key update process is re-triggered until the channel quality returns to normal. By continuously monitoring the changes in channel quality, when the channel quality improves and stabilizes for a certain period of time, it is triggered to switch back to the original channel and resume using the original key.

8. The information encryption method for wireless electronic countermeasures according to claim 1, characterized in that: Also includes: The parameters of quantum key distribution are dynamically adjusted according to the monitoring results of cognitive radio to achieve seamless integration and performance optimization. Then, through real-time evaluation of performance and security, it is determined whether the current communication system has reached the preset performance-security balance point.

9. The information encryption method for wireless electronic countermeasures according to claim 8, characterized in that: Dynamically adjust the parameters of quantum key distribution according to the monitoring results of cognitive radio, perform seamless integration and performance optimization, and then judge whether the current communication system has reached the preset performance and security balance point through real-time performance and security evaluation, including: Obtain real-time monitoring result data of cognitive radio, analyze relevant parameters of quantum key distribution, and determine whether dynamic adjustment of quantum key distribution parameters is required based on preset performance security balance point thresholds; When adjustment is needed, the association rule mining algorithm is used according to the association rules between cognitive radio monitoring results and quantum key distribution parameters to obtain the quantum key distribution parameter values ​​that need to be adjusted; The adjusted quantum key distribution parameters are applied to the quantum key distribution process, and the optimized communication system performance and security evaluation results are obtained through the collaborative work of cognitive radio and quantum key distribution technology.

10. The information encryption method for wireless electronic countermeasures according to claim 9, characterized in that: The obtaining of the optimized communication system performance and security evaluation results also includes: Adopting multi-objective optimization algorithm, taking the preset performance-safety balance point as the optimization target, dynamically optimizes the relevant parameters of the communication system and achieves the optimal performance-safety balance state; The optimized communication system parameter configuration is then applied to the cognitive radio and quantum key distribution process. Through real-time monitoring and dynamic adjustment, the performance and security of the communication system are kept near the preset balance point. Based on the new data collected during the operation of the communication system, an incremental learning algorithm is used to update and improve it, continuously maintain the optimal performance-security balance state, and regularly evaluate and adjust the preset performance-security balance point thresholds, and timely integrate the latest cognitive radio and quantum key distribution technologies.

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