Information communication method based on communication security protection

Abstract

The invention belongs to the field of communication transmission, relates to a data analysis technology, is used for solving the problems that time delay exists in channel state feedback and static weight cannot adapt to burst interference in the prior art, and particularly relates to an information communication method based on communication security protection, which comprises a link switching analysis sub-method and a feedback analysis sub-method. The link switching analysis sub-method comprises the following steps: acquiring channel parameters of a communication link and performing entropy conversion; carrying out weight distribution according to the entropy value of the channel parameter to obtain a weight coefficient of the sampling parameter in the acquisition period; analyzing the priority of the communication link; according to the method, the essential characteristics of the channel parameters can be dynamically captured, the timeliness and accuracy of the link switching decision are improved, the abnormal switching operation is effectively identified by a closed-loop feedback mechanism, the communication resource waste caused by invalid switching is reduced, and the method can maintain stable information transmission quality in a complex electromagnetic interference environment, so that the user experience is improved. And the communication interruption risk caused by channel abrupt change is avoided.

Description

Technical Field

[0001] The present invention belongs to the field of communication transmission, relates to data analysis technology, and specifically is an information communication method based on communication security protection. Background Art

[0002] Communication security protection refers to the use of technical means and management measures to ensure the confidentiality, integrity and availability of information during transmission, and to prevent information from being eavesdropped, tampered with or blocked. The information communication system is a general term for the technical system used to complete the information transmission process, and is mainly composed of three elements: source, channel and destination.

[0003] The invention patent with publication number CN117081707B discloses a method and system for optimizing the quality of communication transmission lines. The method locates signal transmission anomalies of the communication transmission line based on abnormal fluctuations and analyzes the degree of abnormality of the signal transmission anomalies. Signal quality optimization rules for the communication transmission line are constructed, and quality optimization of the communication transmission line is performed to obtain quality optimization results. However, from the perspective of adaptive switching of communication links, existing methods rely on fixed rules or a limited knowledge base and cannot dynamically quantify the real-time importance of channel parameters. Channel state feedback has a time delay, and static weights cannot adapt to sudden interference. In addition, existing technologies cannot verify the effectiveness of the communication link after switching, resulting in low optimization efficiency of information transmission.

[0004] In response to the above technical problems, this application proposes a solution. Summary of the Invention

[0005] The purpose of the present invention is to provide an information communication method based on communication security protection, which is used to solve the problems in the prior art of channel state feedback having a time delay and static weights being unable to adapt to sudden interference;

[0006] The technical problem to be solved by the present invention is: how to provide an information communication method based on communication security protection that can dynamically capture the essential characteristics of channel parameters and improve the timeliness and accuracy of link switching decisions.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] An information communication method based on communication security protection, comprising a link switching analysis sub-method and a feedback analysis sub-method;

[0009] The link switching analysis sub-method comprises the following steps:

[0010] Step S1: Obtain the channel parameters of the communication link and convert them into entropy values: Generate a collection period of L1 seconds, mark the channel parameters of the communication link as sampling parameters j, j = 1, 2, ..., m, m is a positive integer, obtain the original value of the sampling parameter j of each link during the collection period and mark the state according to the original value to obtain the information entropy H of the sampling parameter j j ;

[0011] Step S2: weight distribution is performed according to the entropy value of the channel parameter to obtain the weight coefficient W of the sampling parameter j in the acquisition period j ;

[0012] Step S3: Analyze the priority of the communication link and obtain the priority coefficient YX of the communication link, mark the communication link with the largest priority coefficient YX as the priority link; and use the priority link for information communication transmission.

[0013] The feedback analysis sub-method comprises the following steps:

[0014] Step P1: Perform information entropy verification analysis on the channel parameters of the communication link;

[0015] Step P2: verify and analyze the communication transmission process of the priority link;

[0016] Step P3: Evaluate and analyze the communication transmission improvement effect of the verification process.

[0017] Furthermore, the information entropy H of the sampling parameter j j The acquisition process includes: setting the state interval i for the sampling parameter j, i = 1, 2, ..., n, n is a positive integer, marking the ratio of the number of times the original value is in the state interval i to the total number of sampling times as the probability vector P (x i ), the probability vector P (x i ) is calculated to obtain the information entropy H of the sampling parameter j j .

[0018] Furthermore, the acquisition process of the priority coefficient YX of the communication link includes: acquiring the value of the sampling parameter j of each communication link in real time and marking it as the sampling value CY j , the sampling value CY of the sampling parameter j j Normalization is performed to obtain the evaluation value PG of the sampling parameter j j : Get the maximum tolerance value ZR of sampling parameter j through the database j , through the formula PG j =1-CY j / ZR j Get the evaluation value PG j ; According to the weight coefficient W jThe evaluation value PG of the sampling parameter j j Perform weighted sum calculation to obtain the priority coefficient YX of the communication link.

[0019] Furthermore, in step P1, the specific process of performing information entropy verification analysis on the channel parameters of the communication link includes: calculating the information entropy H of the sampling parameter j in the latest L2 acquisition cycles at the beginning of the acquisition cycle j The average value is marked as the validation value YZ of the sampling parameter j j At the end of the acquisition cycle, the information entropy H of the sampling parameter j is j With verification value YZ j The absolute value of the difference is marked as the deviation value PC j , through the deviation value PC j It is determined whether the entropy weight fluctuation of the sampling parameter j during the acquisition period meets the requirements.

[0020] Furthermore, the specific process of determining whether the entropy weight fluctuation of the sampling parameter j during the acquisition period meets the requirements includes: retrieving the deviation threshold value PY of the sampling parameter j from the database j , the deviation value PC j With the deviation threshold PY j Compare: If the deviation value PC j Less than the deviation threshold PY j , then it is determined that the entropy weight fluctuation of the sampling parameter j during the acquisition period meets the requirements; if the deviation value PC j Greater than or equal to the deviation threshold PY j , it is determined that the entropy weight fluctuation of the sampling parameter j during the acquisition period does not meet the requirements, and a backup secure link is used for information communication transmission.

[0021] Furthermore, in step P2, the specific process of verifying and analyzing the communication transmission process of the priority link includes: generating a verification process when the priority link completes the switch, performing a countdown of L3 seconds within the verification process, and before the countdown is completed, if the priority link completes the switch again, the countdown is reset; if the priority link does not switch again, the verification process is terminated until a new verification process is generated again when the priority link switches next time.

[0022] Furthermore, in step P3, the specific process of evaluating and analyzing the communication transmission improvement effect of the verification process includes: marking the number of countdown resets in the verification process as the effective value of the verification process, marking the verification process with an effective value not less than K1 as a valid process, dividing the valid process into verification periods e according to the countdown reset time, e=1, 2, ..., u, u is a positive integer, and obtaining the bit error rate WM of the priority link in the verification period e e , by verifying the bit error rate WM of all verification periods e eNumerical calculation is performed to obtain the improvement coefficient GS of the verification process, and the improvement coefficient is used to determine whether the communication transmission improvement effect of the priority link meets the requirements.

[0023] Furthermore, the specific process of determining whether the communication transmission improvement effect of the priority link meets the requirements includes: obtaining the improvement threshold GSmin through the database, and comparing the improvement coefficient GS of the verification process with the improvement threshold GSmin: if the improvement coefficient GS is less than the improvement threshold GSmin, it is determined that the communication transmission improvement effect of the priority link does not meet the requirements, and an entropy weight optimization signal is generated and sent to the administrator's mobile phone terminal; if the improvement coefficient GS is greater than or equal to the improvement threshold GSmin, it is determined that the communication transmission improvement effect of the priority link meets the requirements.

[0024] The present invention has the following beneficial effects:

[0025] 1. This application can dynamically capture the essential characteristics of channel parameters, improve the timeliness and accuracy of link switching decisions, and effectively identify abnormal switching operations through a closed-loop feedback mechanism, thereby reducing the waste of communication resources caused by invalid switching. This method can maintain stable information transmission quality in complex electromagnetic interference environments and avoid the risk of communication interruption caused by channel mutations.

[0026] 2. This application can dynamically adjust the weight allocation strategy according to the real-time fluctuations of channel parameters, reduce the impact of channel state feedback delay on link switching, improve the reliability and adaptability of communication link priority evaluation, accurately quantify the impact of the real-time status of each parameter in the communication link on communication quality, and improve the objectivity of link priority evaluation through a dynamic weighting mechanism;

[0027] 3. This application implements dynamic monitoring and anomaly identification of fluctuations in channel parameter entropy weights, enabling timely detection of channel quality degradation caused by sudden interference or equipment failure, and avoiding frequent switching of communication links caused by misjudgment of parameter fluctuations. Furthermore, through collaborative analysis of historical and real-time data, it effectively distinguishes between normal changes in the channel environment and abnormal fluctuations, improving the accuracy of link switching decisions.

[0028] 4. This application can dynamically track the switching stability of the priority link and prevent frequent switching problems caused by sudden interference. Through the countdown reset mechanism, the system can accurately identify high-frequency switching scenarios that require continuous monitoring, thereby providing an effective data basis for subsequent bit error rate analysis, and ultimately improving the pertinence and reliability of communication transmission optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0030] Figure 1 Flowchart of the link switching analysis sub-method of the present invention;

[0031] Figure 2 is a flow chart of the feedback analysis sub-method of the present invention;

[0032] Figure 3 The figure is a flow chart of the generation of the verification process of the present invention. DETAILED DESCRIPTION

[0033] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0034] In existing technologies, communication security protection implements link switching through fixed rules or limited knowledge bases, relying on preset parameter thresholds to determine channel status. Traditional methods use a static weight allocation mechanism to assess link quality, which is unable to dynamically quantify the real-time importance of channel parameters. When encountering sudden interference or sudden changes in channel status, static weights cannot promptly reflect parameter changes, resulting in delayed link switching decisions. In addition, existing technologies lack a mechanism for continuous verification of link stability after switching. Switching operations may cause secondary communication interruptions, resulting in reduced information transmission efficiency. For example, in complex electromagnetic environments, channel parameters fluctuate frequently, and traditional methods are prone to misjudgment, resulting in a mismatch between the preferred link selection and the actual channel status.

[0035] To address these issues, we need to figure out how to dynamically quantify the importance of channel parameters to adapt to real-time changes and verify the continued stability of the link after a handover. First, we consider introducing entropy analysis, which uses information entropy to reflect parameter fluctuations, replacing fixed thresholds. Secondly, we design a dynamic weight allocation mechanism to automatically adjust the weight coefficients as parameter entropy changes. Finally, we establish a feedback verification process to continuously monitor communication quality after a link handover, creating a closed-loop optimization loop. By implementing a phased approach to link selection and performance verification, we ensure the timeliness of handover decisions while preventing ineffective handovers from disrupting communication.

[0036] like Figure 1As shown, an information communication method based on communication security protection includes a link switching analysis sub-method and a feedback analysis sub-method.

[0037] like Figure 1 As shown, the link switching analysis sub-method includes the following steps:

[0038] Step S1: Obtain the channel parameters of the communication link and perform entropy conversion: Generate a collection period of L1 seconds, mark the channel parameters of the communication link as sampling parameters j, j = 1, 2, ..., m, m is a positive integer, sampling parameters j Generally, it includes delay, packet loss rate, signal-to-noise ratio, interference intensity, etc. The original value of the sampling parameter j of each link is obtained during the collection period and the state is marked according to the original value: a state interval i is set for the sampling parameter j, i=1, 2, ..., n, n is a positive integer. For example, when the sampling parameter j is the delay, the state intervals of less than 20ms, 20-50ms, and greater than 50ms can be set. When the sampling parameter j is the packet loss rate, the state intervals of less than 1%, 1%-5%, and greater than 5% can be set. The ratio of the number of times the original value is within the state interval i to the total number of sampling times is marked as the probability vector P (x) of the state interval i. i ), through the formula Get the information entropy H of sampling parameter j j ;

[0039] The state interval refers to the multiple subintervals obtained by dividing the numerical range of the sampling parameters. This can be achieved by using equal-width binning or equal-frequency binning methods to quantify the distribution of channel parameters under different states. The probability vector refers to the frequency statistics of the sampling parameters within each state interval. This can be achieved by using a sliding time window or fixed-period sampling method to reflect the fluctuation characteristics of the channel parameters in the time dimension. The entropy calculation formula refers to the information entropy calculation function based on the probability distribution. This can be achieved by using the Shannon entropy formula to measure the degree of uncertainty in the channel parameters.

[0040] Specifically, during the channel parameter collection process for a communication link, the numerical range of each sampled parameter is first divided into multiple state intervals according to a preset binning rule. During the collection cycle, the frequency of parameter occurrence within each state interval is counted to form a corresponding probability distribution vector. The Shannon entropy formula is used to calculate this probability vector, yielding an information entropy value that reflects the dynamic changes in the channel parameters. This information entropy value characterizes the stability of the channel parameters and provides a dynamic quantitative basis for subsequent weight allocation.

[0041] Step S2: weight distribution according to the entropy value of the channel parameters: by formula Get the weight coefficient W of the sampling parameter j during the acquisition period j ;

[0042] Step S3: Analyze the priority of the communication link: obtain the value of the sampling parameter j of each communication link in real time and mark it as the sampling value CY j , the sampling value CY of the sampling parameter j j Normalization is performed to obtain the evaluation value PG of the sampling parameter j j : Get the maximum tolerance value ZR of sampling parameter j through the database j , through the formula PG j =1-CY j / ZR j Get the evaluation value PG j ; Through the formula The priority coefficient YX of the communication link is obtained, and the communication link with the largest value of the priority coefficient YX is marked as the priority link; the priority link is used for information communication transmission.

[0043] Normalization involves converting sampling parameters of varying dimensions into uniform, dimensionless values. This can be achieved through linear scaling, where the sampling values ​​are compared to a preset maximum tolerance value to eliminate dimensional differences between the parameters. The maximum tolerance value is the critical value allowed for the sampling parameter in a communication link. This value can be determined through historical data statistics or system-preset rules and is used to quantify the impact of the parameter on communication quality.

[0044] Specifically, during the communication link selection process, channel parameter data for each link, such as signal strength, packet loss rate, or latency, is collected in real time. After the sampled value corresponding to each parameter is extracted, it is normalized by dividing it by the preset maximum tolerance value for that parameter to obtain the relative distance between the current parameter state and the limit state. For example, when the signal strength sampled value of a link is 80% of the current maximum tolerance value, its evaluation value is 0.2, indicating that the parameter state is close to a critical level. The evaluation values ​​of all parameters are multiplied by their corresponding weight coefficients and then accumulated to generate a priority coefficient that represents the overall performance of the link. This coefficient can dynamically reflect the real-time communication capabilities of each link in the current environment and provide a quantitative basis for link switching decisions.

[0045] like Figure 2 As shown, the feedback analysis sub-method includes the following steps:

[0046] Step P1: Perform information entropy verification analysis on the channel parameters of the communication link: At the beginning of the acquisition cycle, calculate the average value of the information entropy Hj of the sampling parameter j in the last L2 acquisition cycles and mark it as the verification value YZ of the sampling parameter j j At the end of the acquisition cycle, the information entropy H of the sampling parameter j is j With verification value YZ j The absolute value of the difference is marked as the deviation value PC j, retrieve the deviation threshold PY of sampling parameter j through the database j , the deviation value PC j With the deviation threshold PY j Compare: If the deviation value PC j Less than the deviation threshold PY j , then it is determined that the entropy weight fluctuation of the sampling parameter j during the acquisition period meets the requirements; if the deviation value PC j Greater than or equal to the deviation threshold PY j , then it is determined that the entropy weight fluctuation of the sampling parameter j during the acquisition period does not meet the requirements, and a backup secure link is used for information communication transmission;

[0047] Among them, the verification value YZ j It refers to the entropy value benchmark established based on historical data. Specifically, it can be achieved by using the sliding average algorithm to calculate the average value of the information entropy in the last L2 periods to eliminate short-term fluctuation interference. Deviation value PC j This refers to the degree of deviation between the current entropy value and the historical benchmark. Specifically, the magnitude of abnormal fluctuations in the current channel parameters can be quantified through absolute value calculations, reflecting the risk of sudden changes in the channel state. Entropy weight fluctuation determination determines the stability of channel parameters using a preset threshold. This can be achieved by comparing the deviation value with the tolerance threshold, which is used to trigger the link switching protection mechanism.

[0048] Specifically, during channel parameter verification, the system first calculates the average information entropy of each sampled parameter using L2 historical acquisition cycles as a time window, serving as a baseline verification value. When a new acquisition cycle begins, the information entropy of each parameter within the current cycle is calculated in real time, and the absolute difference between the information entropy and the corresponding verification value is calculated. This deviation is used to measure whether the channel parameters have experienced abnormal fluctuations. When the deviation exceeds a preset threshold, the system determines that the current channel state is unstable and activates a backup safety link. For example, the L2 value can be 3-5 cycles to balance the reference value of historical data with real-time requirements.

[0049] Specifically, at the end of the acquisition cycle, the current entropy is compared with the historical verification value to obtain a deviation value. A preset threshold is then used to determine whether the fluctuation is within an acceptable range. If the deviation exceeds the threshold, indicating an abnormal fluctuation in the channel parameters, the system immediately switches to the backup link to prevent degradation in communication quality. For example, if the entropy of a channel parameter suddenly increases, causing the deviation to exceed the threshold, the system automatically activates the backup link to maintain transmission stability.

[0050] Step P2: If Figure 3As shown, the communication transmission process of the priority link is verified and analyzed: a verification process is generated when the priority link completes the switch, and a countdown of L3 seconds is performed during the verification process. Before the countdown is completed, if the priority link completes the switch again, the countdown is reset; if the priority link does not switch again, the verification process is terminated until a new verification process is generated again when the priority link switches next time;

[0051] The verification process refers to a periodic monitoring mechanism initiated after a priority link switch. This can be implemented using a timer module combined with a link status detection module to track the stability of link switching. Countdown reset reinitializes the timing cycle when the priority link switches again before the countdown ends. This can be implemented through an interrupt trigger mechanism to capture frequent switching events. Verification process termination ends the current monitoring cycle if the countdown is not reset. This can be implemented through state machine control logic to avoid resource usage due to ineffective monitoring.

[0052] Specifically, when the priority link completes the switching operation, the system automatically triggers the verification process and starts the L3-second countdown. During this time period, if the priority link is detected to have switched again, the countdown is immediately reset to extend the verification period; if the countdown ends naturally and no switch occurs, the current verification process is closed. This mechanism continuously monitors the frequency of link switching and reactivates the verification process only when a link switching event is triggered. For example, the L3 duration can be a preset fixed value or dynamically adjusted based on the historical switching frequency. By repeatedly resetting the countdown, unstable link states caused by frequent switching can be effectively identified.

[0053] Step P3: Evaluate and analyze the communication transmission improvement effect of the verification process: mark the number of countdown resets in the verification process as the effective value of the verification process, mark the verification process with an effective value not less than K1 as a valid process, divide the valid process into verification periods e according to the countdown reset time, e=1, 2, ..., u, u is a positive integer, and obtain the bit error rate WM of the priority link in the verification period e e , through the formula The improvement coefficient GS of the verification process is obtained, the improvement threshold GSmin is obtained through the database, and the improvement coefficient GS of the verification process is compared with the improvement threshold GSmin: if the improvement coefficient GS is less than the improvement threshold GSmin, it is determined that the communication transmission improvement effect of the priority link does not meet the requirements, and an entropy weight optimization signal is generated and sent to the administrator's mobile terminal; if the improvement coefficient GS is greater than or equal to the improvement threshold GSmin, it is determined that the communication transmission improvement effect of the priority link meets the requirements.

[0054] Among them, the effective value refers to the number of times the countdown is reset during the verification process. Specifically, it can be achieved by using the counter module to record the number of countdown triggers in real time. This parameter is used to reflect the frequency of link switching and thus evaluate the stability of the communication link; the verification period e refers to the time period divided by the countdown reset interval. Specifically, the timestamp segmentation algorithm can be used to cut the effective process into multiple continuous periods. Each period corresponds to a communication cycle after a link switch, which is used to monitor the bit error rate changes in segments; the bit error rate WM e It refers to the ratio of the number of erroneous bits in the data transmitted by the priority link within the verification period e to the total number of bits. It can be achieved through check code comparison or cyclic redundancy check technology and is used to quantify the communication quality. The improvement coefficient GS refers to a comprehensive evaluation index calculated based on the bit error rate. It can be calculated by aggregating the bit error rates of multiple verification periods using weighted average or variance analysis methods to reflect the overall improvement in communication quality after link switching.

[0055] Specifically, after the verification process is marked as valid, communication on the priority link is divided into multiple verification periods. Each period corresponds to a countdown reset event, indicating that stable communication has been maintained after the link switch. By collecting bit error rate data for each period in real time, a comprehensive improvement factor is calculated using mathematical methods, such as normalizing the bit error rates for each period and taking the average. If the improvement factor falls below a preset threshold, an optimization signal is triggered, notifying management to adjust the channel parameter weighting strategy. This process, through dynamic segmented evaluation, ensures real-time monitoring and feedback of changes in communication quality.

[0056] An information communication method based on communication security protection, when working, obtains the channel parameters of the communication link and converts the entropy value: generates a collection period of L1 seconds, marks the channel parameters of the communication link as sampling parameters j, j = 1, 2, ..., m, m is a positive integer, obtains the original value of the sampling parameter j of each link during the collection period and performs state marking according to the original value to obtain the information entropy H of the sampling parameter j j ; According to the entropy value of the channel parameter, the weight coefficient W of the sampling parameter j in the acquisition period is obtained by weight distribution j ; Analyze the priority of the communication link and obtain the priority coefficient YX of the communication link, mark the communication link with the largest priority coefficient YX as the priority link; use the priority link for information communication transmission; then perform information entropy verification and analysis on the channel parameters of the communication link; verify and analyze the communication transmission process of the priority link; evaluate and analyze the communication transmission improvement effect of the verification process.

[0057] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

[0058] Throughout this specification, references to terms such as "one embodiment," "example," or "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0059] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An information communication method based on communication security protection, characterized in that: It includes a link switching analysis sub-method and a feedback analysis sub-method; The link switching analysis sub-method comprises the following steps: Step S1: Obtain the channel parameters of the communication link and convert them into entropy values: Generate a collection period of L1 seconds, mark the channel parameters of the communication link as sampling parameters j, j = 1, 2, ..., m, m is a positive integer, obtain the original value of the sampling parameter j of each link during the collection period and mark the state according to the original value to obtain the information entropy H of the sampling parameter j j ; Step S2: weight distribution is performed according to the entropy value of the channel parameter to obtain the weight coefficient W of the sampling parameter j in the acquisition period j ; Step S3: Analyze the priority of the communication link and obtain the priority coefficient YX of the communication link, mark the communication link with the largest priority coefficient YX as the priority link; and use the priority link for information communication transmission; The feedback analysis sub-method comprises the following steps: Step P1: Perform information entropy verification analysis on the channel parameters of the communication link; Step P2: verify and analyze the communication transmission process of the priority link; Step P3: Evaluate and analyze the communication transmission improvement effect of the verification process.

2. The information communication method based on communication security protection according to claim 1, characterized in that: The information entropy H of sampling parameter j j The acquisition process includes: setting the state interval i for the sampling parameter j, i = 1, 2, ..., n, n is a positive integer, marking the ratio of the number of times the original value is in the state interval i to the total number of sampling times as the probability vector P (x i ), the probability vector P (x i ) is calculated to obtain the information entropy H of the sampling parameter j j .

3. The information communication method based on communication security protection according to claim 1, characterized in that: The acquisition process of the priority coefficient YX of the communication link includes: obtaining the value of the sampling parameter j of each communication link in real time and marking it as the sampling value CY j , the sampling value CY of the sampling parameter j j Normalization is performed to obtain the evaluation value PG of the sampling parameter j j : Get the maximum tolerance value ZR of sampling parameter j through the database j , through the formula PG j =1-CY j / ZR j Get the evaluation value PG j ; According to the weight coefficient W j The evaluation value PG of the sampling parameter j j Perform weighted sum calculation to obtain the priority coefficient YX of the communication link.

4. The information communication method based on communication security protection according to claim 1, characterized in that: In step P1, the specific process of performing information entropy verification analysis on the channel parameters of the communication link includes: calculating the average value of the information entropy Hj of the sampling parameter j in the latest L2 collection cycles at the beginning of the collection cycle and marking it as the verification value YZ of the sampling parameter j j At the end of the acquisition cycle, the information entropy H of the sampling parameter j is j With verification value YZ j The absolute value of the difference is marked as the deviation value PC j , through the deviation value PC j It is determined whether the entropy weight fluctuation of the sampling parameter j during the acquisition period meets the requirements.

5. The information communication method based on communication security protection according to claim 4, characterized in that: The specific process of determining whether the entropy weight fluctuation of the sampling parameter j during the acquisition period meets the requirements includes: retrieving the deviation threshold value PY of the sampling parameter j through the database j , the deviation value PC j With the deviation threshold PY j Compare: If the deviation value PC j Less than the deviation threshold PY j , then it is determined that the entropy weight fluctuation of the sampling parameter j during the acquisition period meets the requirements; if the deviation value PC j Greater than or equal to the deviation threshold PY j , it is determined that the entropy weight fluctuation of the sampling parameter j during the acquisition period does not meet the requirements, and a backup secure link is used for information communication transmission.

6. The information communication method based on communication security protection according to claim 5, characterized in that: In step P2, the specific process of verifying and analyzing the communication transmission process of the priority link includes: generating a verification process when the priority link completes the switch, performing a countdown of L3 seconds within the verification process, and before the countdown is completed, if the priority link completes the switch again, the countdown is reset; if the priority link does not switch again, the verification process is terminated until a new verification process is generated again when the priority link switches next time.

7. The information communication method based on communication security protection according to claim 6, characterized in that: In step P3, the specific process of evaluating and analyzing the communication transmission improvement effect of the verification process includes: marking the number of countdown resets in the verification process as the effective value of the verification process, marking the verification process with an effective value not less than K1 as a valid process, dividing the valid process into verification periods e according to the countdown reset time, e=1, 2, ..., u, u is a positive integer, and obtaining the bit error rate WM of the priority link in the verification period e e , by verifying the bit error rate WM of all verification periods e e Numerical calculation is performed to obtain the improvement coefficient GS of the verification process, and the improvement coefficient is used to determine whether the communication transmission improvement effect of the priority link meets the requirements.

8. The information communication method based on communication security protection according to claim 7, characterized in that: The specific process of determining whether the communication transmission improvement effect of the priority link meets the requirements includes: obtaining the improvement threshold GSmin through the database, and comparing the improvement coefficient GS of the verification process with the improvement threshold GSmin: if the improvement coefficient GS is less than the improvement threshold GSmin, it is determined that the communication transmission improvement effect of the priority link does not meet the requirements, and an entropy weight optimization signal is generated and sent to the administrator's mobile phone terminal; if the improvement coefficient GS is greater than or equal to the improvement threshold GSmin, it is determined that the communication transmission improvement effect of the priority link meets the requirements.

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