Low-latency audio-video security exchange platform and method across physically isolated networks

Abstract

The application provides a low-delay audio and video security exchange platform and method across physically isolated networks, and belongs to the technical field of data processing, and specifically comprises the following steps: determining a target terminal in the interactive terminal according to the setting data of the physically isolated network, determining a data verification target terminal in the target terminal based on the distribution data of the security abnormal events of the communication network between the target terminal and other interactive terminals, acquiring interactive data of the audio and video data of the data verification target terminal and other interactive terminals in real time, generating a verification processing mode of the data verification target terminal based on the interactive data, and uniformly issuing the verification processing mode to the interactive terminals when the verification processing is passed, so that the security and synchronization of data transmission are improved.

Description

Technical Field

[0001] The present invention belongs to the field of data processing technology, and in particular relates to a low-latency audio and video security exchange platform and method across physically isolated networks. Background Art

[0002] In order to ensure the data security between the internal and external networks, a physically isolated network is set up to achieve data security isolation between the internal and external networks. Specifically, in the invention patent application CN202211332090.5 "A hierarchical classification method and system for electric power 5G services", the hierarchical electric power 5G services, that is, the slices that achieve physical isolation, are classified, and then the dimensional feature values ​​corresponding to the three major types of slices in the 5G network slices are extracted, namely the feature values ​​of bandwidth, latency and connection volume, which provides a basis for the application of 5G network slicing in electric power 5G services.

[0003] The setting of a physically isolated network will inevitably lead to delays in the exchange of audio and video data between the internal and external networks. In severe cases, there may even be problems with audio and video being out of sync. Therefore, how to reduce the delay of audio and video data in a physically isolated network while ensuring the synchronization of audio and video has become a technical problem that needs to be solved urgently.

[0004] To solve the above technical problems, the present application provides a low-latency audio and video security exchange platform and method across physically isolated networks. Summary of the Invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0006] Specifically, in a first aspect, the present application provides a method for securely exchanging low-latency audio and video across physically isolated networks, specifically comprising:

[0007] S1 uses the historical processing data of the data verification server of the audio and video interactive terminal to determine the verification delay deviation of different data verification servers in different time periods, and determines the synchronization abnormal period and the synchronization deviation server in the time period based on the verification delay deviation;

[0008] S2 determines the overlap data of the interaction period and the synchronization abnormality period based on the audio and video interaction requirements, and combines the distribution data of the synchronization deviation servers in different synchronization abnormality periods to determine that the synchronization abnormality state of the interaction period does not meet the requirements, and then proceeds to the next step;

[0009] S3: determining a target terminal among the interactive terminals using the setting data of the physically isolated network, and determining a data verification target terminal among the target terminals based on distribution data of security anomalies in the communication network between the target terminal and other interactive terminals;

[0010] S4 obtains the interactive data of the audio and video data between the data verification target terminal and other interactive terminals in real time, generates the verification processing method of the data verification target terminal based on the interactive data, and sends it to the interactive terminal uniformly after the verification processing is passed.

[0011] The beneficial effects of the present invention are:

[0012] Based on the distribution data of security anomalies in the communication network between the target terminal and other interactive terminals, the data verification target terminal in the target terminal is determined, thereby realizing the determination of data verification target terminals with higher data transmission reliability from the perspective of network security anomalies in the process of data transmission processing from the target terminal to other interactive terminals, avoiding the occurrence of network security incidents caused by low data reliability, and improving the reliability of data transmission processing.

[0013] The verification processing method of the data verification target terminal is generated based on the interactive data, thereby realizing the determination of the verification processing method of the data verification target terminal from the perspective of the data volume of the interactive data at different times, which not only ensures the efficiency of the data verification processing during the busy time of data verification processing, but also ensures the reliability of the data verification processing.

[0014] A further technical solution is that the historical processing data of the data verification server includes the verification processing delay of the audio and video data of the data verification server at different times.

[0015] A further technical solution is that the verification delay deviation includes the deviation of the verification processing delay of the audio and video data at different times between different data verification servers.

[0016] A further technical solution is that the method for determining the synchronization abnormality period in the period is:

[0017] Determine the deviation of the verification processing delay of the audio and video data at different times by different data verification servers in the time period, and the deviation of the verification processing delay with other data verification servers at different times;

[0018] Determine the delay deviation time of different data verification servers based on the deviation of verification processing delay with other data verification servers;

[0019] According to the proportion of the number of data verification servers belonging to the delay deviation moment at different moments, the delay deviation coefficient at different moments is determined, and based on the average value of the delay deviation coefficient at different moments on different dates, it is determined whether the period is a synchronization abnormality period.

[0020] A further technical solution is that the delay deviation moment of the data verification server is the moment when the deviation of the verification processing delay with other data verification servers is greater than a preset delay deviation threshold and the number of data verification servers is greater than a preset data verification server number threshold.

[0021] A further technical solution is that the method for determining the verification processing mode of the data verification target terminal is:

[0022] Using the data verification target terminal to obtain audio and video data from other interactive terminals, determine the other interactive terminals whose audio and video data the data verification target terminal obtains, and use them as matching interactive terminals;

[0023] Determine the total amount of data acquired at different times based on the number of matching interactive terminals and the amount of audio and video data acquired at different times;

[0024] The verification processing method of the data verification target terminal is determined according to the total amount obtained at different times.

[0025] A further technical solution is to uniformly send the information to the interactive terminal, including:

[0026] The audio and video data of different interactive terminals are uniformly forwarded to different interactive terminals through the data verification target terminal.

[0027] In a second aspect, the present application provides a low-latency audio and video secure exchange platform across physically isolated networks, which uses the above-mentioned low-latency audio and video secure exchange method across physically isolated networks, specifically including:

[0028] Verification terminal determination module, verification method determination module, data exchange module;

[0029] The verification terminal determination module is responsible for determining the data verification target terminal in the target terminal;

[0030] The verification method determination module is responsible for generating a verification processing method for the data verification target terminal;

[0031] The data exchange module is responsible for transferring data from the target terminal to the interactive terminal for data verification.

[0032] Other features and advantages will be described in the following description. The objectives and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0033] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The above and other features and advantages of the present invention will become more apparent by describing in detail example embodiments thereof with reference to the accompanying drawings.

[0035] Figure 1 It is a flow chart of a method for securely exchanging low-latency audio and video across physically isolated networks;

[0036] Figure 2 is a flow chart of a method for determining a synchronization abnormality period in a period;

[0037] Figure 3 It is a flow chart for determining that the synchronization abnormal state during the interaction period does not meet the requirements;

[0038] Figure 4 The present invention is a flow chart of a method for verifying the determination of a target terminal by data in the target terminal. DETAILED DESCRIPTION

[0039] To help those skilled in the art better understand the technical solutions in this specification, the following will provide a clear and complete description of the technical solutions in the embodiments of this specification, in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this specification without creative work should fall within the scope of protection of this specification.

[0040] In this application, a fixed data verification target terminal is used to perform verification processing on audio and video data, and after the verification processing is completed, it is decentralized to other interactive terminals, thereby ensuring the efficiency of the verification processing and the synchronization of audio and video data.

[0041] Example 1

[0042] like Figure 1 As shown, the present application provides a low-latency audio and video secure exchange method across a physically isolated network, specifically including:

[0043] S1 uses the historical processing data of the data verification server of the audio and video interactive terminal to determine the verification delay deviation of different data verification servers in different time periods, and determines the synchronization abnormal period and the synchronization deviation server in the time period based on the verification delay deviation;

[0044] Furthermore, the historical processing data of the data verification server includes the verification processing delay of the audio and video data of the data verification server at different times.

[0045] Specifically, the verification delay deviation includes the deviation of the verification processing delay of the audio and video data at different times between different data verification servers.

[0046] Specifically, such as Figure 2 As shown, the method for determining the synchronization abnormality period in the period is:

[0047] Determine the deviation of the verification processing delay of the audio and video data at different times by different data verification servers in the time period, and the deviation of the verification processing delay with other data verification servers at different times;

[0048] Determine the delay deviation time of different data verification servers based on the deviation of verification processing delay with other data verification servers;

[0049] According to the proportion of the number of data verification servers belonging to the delay deviation moment at different moments, the delay deviation coefficient at different moments is determined, and based on the average value of the delay deviation coefficient at different moments on different dates, it is determined whether the period is a synchronization abnormality period.

[0050] Furthermore, the delay deviation moment of the data verification server is the moment when the deviation of the verification processing delay of the data verification server with other data verification servers is greater than a preset delay deviation threshold and the number of data verification servers is greater than a preset data verification server number threshold.

[0051] It should be noted that when the average value of the delay deviation coefficients at different times on different dates is greater than a preset delay deviation coefficient threshold, the period is determined to be a synchronization abnormality period.

[0052] It can be understood that the synchronization deviation server is a data verification server in which the number of delay deviation moments is greater than the preset number of delay moments.

[0053] In another possible embodiment, a method for determining the synchronization abnormality period in the period is:

[0054] Determine the deviation of the verification processing delay of the audio and video data at different times by different data verification servers in the time period, and the deviation of the verification processing delay with other data verification servers at different times;

[0055] Determine the delay deviation time of different data verification servers based on the deviation of verification processing delay with other data verification servers;

[0056] Whether the period is a synchronization abnormality period is determined according to an average value of the proportion of the data verification servers having delay deviation moments in the period on different dates in the data verification servers.

[0057] Furthermore, when the proportion of data verification servers having delay deviation moments in the time periods on different dates in the data verification servers is greater than a preset server proportion threshold, the time period is determined to be a synchronization abnormality period.

[0058] In another possible embodiment, a method for determining the synchronization abnormality period in the period is:

[0059] Determine the deviation of the verification processing delay of the audio and video data of different data verification servers at different times during the time period with respect to other data verification servers at different times. Determine the delay deviation moments of different data verification servers based on the deviation of the verification processing delay with other data verification servers. If the number of delay deviation moments on different dates does not meet the requirements of the data verification server, determine that the time period is a synchronization abnormality period.

[0060] When there is no data verification server where the number of delay deviation moments on different dates does not meet the requirements:

[0061] Determine the average value of the number of delay deviation moments of different data verification servers on different dates during the period based on the number of delay deviation moments of different data verification servers on different dates; if the average value of the number of delay deviation moments on different dates does not meet the requirement of the number of data verification servers within a preset deviation moment number range, determine that the period is a synchronization abnormality period;

[0062] When the average value of the number of delay deviation moments on different dates meets the requirements of the number of data verification servers within the preset deviation moment number interval and the number of delay deviation moments of different data verification servers, the delay deviation amount on different dates is determined. If there is a date where the delay deviation amount does not meet the requirements, the period is determined to be a synchronization abnormality period;

[0063] When there is no date where the delay deviation does not meet the requirements:

[0064] Determining a comprehensive delay deviation coefficient of the time period based on the delay deviation amounts on different dates, and determining that the time period does not belong to a synchronization abnormality period when the comprehensive delay deviation coefficient is less than a preset delay deviation coefficient value;

[0065] When the comprehensive delay deviation coefficient is not less than the preset delay deviation coefficient value:

[0066] Based on the number of delay deviation moments of different data verification servers on different days, the server delay deviation coefficients of different data verification servers are determined. When the proportion of data verification servers whose server delay deviation coefficients do not meet the requirements is greater than the proportion of the preset deviation servers, it is determined that the period is a synchronization abnormality period.

[0067] When the server delay deviation coefficient does not meet the requirements and the proportion of data verification servers is not greater than the preset deviation server proportion:

[0068] Based on the server delay deviation coefficients of different data verification servers, a server delay value is determined, and based on the server delay value, it is determined whether the time period is a synchronization abnormality period.

[0069] Furthermore, when the server delay value is greater than a preset server delay threshold, the period is determined to be a synchronization abnormality period.

[0070] S2 determines the overlap data of the interaction period and the synchronization abnormality period based on the audio and video interaction requirements, and combines the distribution data of the synchronization deviation servers in different synchronization abnormality periods to determine that the synchronization abnormality state of the interaction period does not meet the requirements, and then proceeds to the next step;

[0071] Specifically, such as Figure 3 As shown, determining that the synchronization abnormal state of the interaction period does not meet the requirements specifically includes:

[0072] Based on the overlapping data of the interaction period and the synchronization abnormality period, the proportion of the synchronization abnormality period in the interaction period is determined, and the proportion is used as the proportion of the abnormality period;

[0073] According to the distribution data of the synchronization deviation servers in different synchronization abnormality periods in the interaction period, the number ratios of the synchronization abnormality periods corresponding to the different synchronization deviation servers are determined, and the ratios are used as the number ratios of the synchronization abnormality periods of the synchronization deviation servers;

[0074] Based on the average of the proportion of the number of abnormal time periods, the proportion of the number of synchronization deviation servers in the data verification server, and the proportion of the number of synchronization abnormal time periods of the synchronization deviation servers, the synchronization abnormality coefficient of the interaction period is determined, and the synchronization abnormality coefficient of the interaction period is used to determine whether the synchronization abnormality status of the interaction period meets the requirements.

[0075] Further, when the synchronization anomaly coefficient of the interaction period is greater than a preset synchronization anomaly coefficient threshold, it is determined that the synchronization anomaly state of the interaction period does not meet the requirements.

[0076] It should be noted that when the synchronization abnormality state during the interaction period meets the requirements, audio and video data interaction processing is directly performed between different interaction terminals.

[0077] In another possible embodiment, determining that the synchronization abnormality state during the interaction period does not meet the requirement specifically includes:

[0078] Based on the overlapping data of the interaction period and the synchronization abnormality period, the proportion of the synchronization abnormality period in the interaction period is determined, and the proportion is used as the proportion of the abnormality period;

[0079] Determining the proportion of synchronization deviation servers in the data verification server according to the distribution data of synchronization deviation servers in different synchronization abnormality periods in the interaction period;

[0080] Based on the product of the proportion of the number of abnormal time periods and the proportion of the number of synchronization deviation servers in the data verification server, the synchronization abnormality coefficient of the interaction period is determined, and the synchronization abnormality coefficient of the interaction period is used to determine whether the synchronization abnormality state of the interaction period meets the requirements.

[0081] In another possible embodiment, determining that the synchronization abnormality state during the interaction period does not meet the requirement specifically includes:

[0082] Based on the overlapping data of the interaction period and the synchronization abnormality period, the proportion of the synchronization abnormality periods in the interaction period is determined, and the proportion is used as the proportion of the number of abnormal periods. When the proportion of the number of abnormal periods does not meet the requirement, it is determined that the synchronization abnormality state of the interaction period does not meet the requirement;

[0083] When the proportion of abnormal periods meets the requirements:

[0084] Determine the proportion of synchronization deviation servers in the data verification server according to the distribution data of synchronization deviation servers in different synchronization abnormality periods in the interaction period; when the proportion of synchronization deviation servers in the data verification server does not meet the requirement, determine that the synchronization abnormality state of the interaction period does not meet the requirement;

[0085] When the proportion of synchronization deviation servers in the data verification server meets the requirements:

[0086] Determine the basic anomaly coefficient of the interaction period based on the proportion of the number of synchronization deviation servers and the proportion of the number of abnormal periods in the data verification server; when the basic anomaly coefficient of the interaction period is within a preset basic anomaly coefficient range, determine that the synchronization anomaly state of the interaction period meets the requirements;

[0087] When the basic abnormality coefficient of the interaction period is not within the preset basic abnormality coefficient interval:

[0088] According to the distribution data of the synchronization deviation servers in different synchronization abnormality periods in the interaction period, the proportion of the number of the synchronization deviation servers in different synchronization abnormality periods is determined, and when the proportion of the number of the synchronization deviation servers is greater than the preset proportion of the number of the deviation servers, the number of the synchronization abnormality periods that meet the requirements is not satisfied, and it is determined that the synchronization abnormality state of the interaction period does not meet the requirements;

[0089] When the proportion of the number of the synchronization deviation servers is greater than the preset proportion of the number of the deviation servers, the number of the synchronization abnormality periods that meet the requirements is satisfied:

[0090] Based on the average value of the abnormality period number proportion, the proportion of the number of the synchronization deviation servers in the data verification server, and the average value of the synchronization abnormality period number proportion of the synchronization deviation servers, the synchronization abnormality coefficient of the interaction period is determined, and whether the synchronization abnormality state of the interaction period meets the requirements is determined by using the synchronization abnormality coefficient of the interaction period.

[0091] S3 determines the target terminal in the interaction terminal based on the setting data of the physical isolation network, and determines the data verification target terminal in the target terminal based on the distribution data of the security abnormality event of the communication network between the target terminal and other interaction terminals.

[0092] Further, the target terminal in the interaction terminal is the interaction terminal that exists the setting of the physical isolation network.

[0093] It can be understood that the security abnormality event is an event that exists network security attack.

[0094] Specifically, as shown in Figure 4 The method for determining the data verification target terminal in the target terminal is:

[0095] The number of security abnormality events when the target terminal sends data to other interaction terminals is determined based on the distribution data of the security abnormality event of the communication network between the target terminal and other interaction terminals.

[0096] Other interaction terminals that exist security abnormality events are regarded as security risk terminals.

[0097] The data verification target terminal in the target terminal is determined according to the number of the security risk terminals.

[0098] Further, the data verification target terminal is the target terminal with the least number of security risk terminals.

[0099] In another possible embodiment, the method for determining the target terminal by verifying the data in the target terminal is:

[0100] S31 determines the number of security anomaly events when the target terminal sends data to other interactive terminals based on distribution data of security anomaly events in the communication network between the target terminal and other interactive terminals;

[0101] S32: other interactive terminals with abnormal security events are regarded as security risk terminals, and the security risk coefficients of different security risk terminals are determined based on the number of abnormal security events of different security risk terminals;

[0102] S33 determines a risk coefficient evaluation amount according to the security risk coefficients of different security risk terminals, and determines a data verification target terminal in the target terminal based on the risk coefficient evaluation amount.

[0103] Optionally, the data verification target terminal among the target terminals is a target terminal with the smallest risk coefficient assessment value.

[0104] Optionally, the above step S31 includes the following contents:

[0105] S311 determines the number of security anomaly events when the target terminal sends data to other interactive terminals based on the distribution data of security anomaly events in the communication network between the target terminal and other interactive terminals. If the sum of the number of security anomaly events of different other interactive terminals does not meet the requirement, it is determined that the target terminal does not belong to the data verification target terminal. If the sum of the number of security anomaly events of different other interactive terminals meets the requirement, the process proceeds to step S312.

[0106] S312 obtains the number of security anomaly events when the target terminal sends data to other interactive terminals on different dates, and uses the date when the security event occurs as the security risk date. If the number of security risk dates is less than the preset number of security risk dates, the process proceeds to step S32; if the number of security risk dates is not less than the preset number of security risk dates, the process proceeds to step S313;

[0107] At step S313, when the sum of the number of security anomaly events of different other interactive terminals is within the preset security anomaly event number range, it is determined that the target terminal does not belong to the data verification target terminal; when the sum of the number of security anomaly events of different other interactive terminals is not within the preset security anomaly event number range, the process proceeds to step S314;

[0108] S314 When the number of security events is greater than the preset security event number threshold and the number of security risk dates does not meet the requirements, it is determined that the target terminal does not belong to the data verification target terminal; when the number of security events is greater than the preset security event number threshold and the number of security risk dates meets the requirements, proceed to step S32.

[0109] Optionally, the above step S32 includes the following contents:

[0110] S321: Other interactive terminals with security anomalies are considered as security risk terminals. If the number of security risk terminals does not meet the requirement, the target terminal is determined not to be a data verification target terminal. If the number of security risk terminals meets the requirement, the process proceeds to step S322.

[0111] S322 determines the security risk coefficients of different security risk terminals based on the number of security anomaly events of different security risk terminals. If there is a security risk terminal whose security risk coefficient does not meet the requirements, it is determined that the target terminal does not belong to the data verification target terminal. If there is no security risk terminal whose security risk coefficient does not meet the requirements, the process proceeds to step S323.

[0112] S323 obtains the sum of the security risk coefficients of different security risk terminals. When the sum of the security risk coefficients of different security risk terminals is greater than the preset value of the risk coefficient, it is determined that the target terminal does not belong to the data verification target terminal. When the sum of the security risk coefficients of different security risk terminals is not greater than the preset value of the risk coefficient, it proceeds to step S33.

[0113] S4 obtains the interactive data of the audio and video data between the data verification target terminal and other interactive terminals in real time, generates the verification processing method of the data verification target terminal based on the interactive data, and sends it to the interactive terminal uniformly after the verification processing is passed.

[0114] Specifically, the method for determining the verification processing mode of the data verification target terminal is:

[0115] Using the data verification target terminal to obtain audio and video data from other interactive terminals, determine the other interactive terminals whose audio and video data the data verification target terminal obtains, and use them as matching interactive terminals;

[0116] Determine the total amount of data acquired at different times based on the number of matching interactive terminals and the amount of audio and video data acquired at different times;

[0117] The verification processing method of the data verification target terminal is determined according to the total amount obtained at different times.

[0118] Furthermore, the verification processing method of the data verification target terminal is determined according to the total amount obtained at different times, specifically including:

[0119] When the total amount of data acquired at different times is within the preset data acquisition amount range, the data type of the audio and video data of different matching interactive terminals is analyzed. If it is determined that there is no injection attack data, the audio and video data is forwarded to different matching interactive terminals;

[0120] When the total amount of data acquired at different moments is not uniformly within the preset data acquisition amount range, or when the average value of the total amount of data acquired at different moments is not within the preset data acquisition amount range, the data verification target terminal is automatically switched to the target terminal with the largest average value of the total amount of data acquired at different moments and the number of security risk terminals within the preset risk terminal number range, and the target terminal is used to analyze the data volume of the audio and video data of different matching interactive terminals. When it is determined that there is no matching interactive terminal whose data volume is inconsistent with the data volume when the matching interactive terminal sends it, the audio and video data is forwarded to a different matching interactive terminal;

[0121] When the average value of the total amount obtained at different times is within the preset data amount range, and the data verification target terminal uses the data to analyze the data amount of the audio and video data of different matching interactive terminals, and determines that there is no matching interactive terminal whose data amount is inconsistent with the data amount when the matching interactive terminal sends it, the audio and video data is forwarded to the different matching interactive terminals.

[0122] It should be noted that when there is a matching interactive terminal whose data volume is inconsistent with the data volume sent by the matching interactive terminal, it is determined whether the audio and video data of the matching interactive terminal contains injection attack data. When injection attack data exists, data forwarding processing is suspended. When injection attack data does not exist, the audio and video data is forwarded to a different matching interactive terminal.

[0123] It is understandable that the unified delivery to the interactive terminal includes:

[0124] The audio and video data of different interactive terminals are uniformly forwarded to different interactive terminals through the data verification target terminal.

[0125] Example 2

[0126] In a second aspect, the present application provides a low-latency audio and video secure exchange platform across physically isolated networks, which uses the above-mentioned low-latency audio and video secure exchange method across physically isolated networks, specifically including:

[0127] Verification terminal determination module, verification method determination module, data exchange module;

[0128] The verification terminal determination module is responsible for determining the data verification target terminal in the target terminal;

[0129] The verification mode determination module is responsible for generating the verification processing mode of the data verification target terminal.

[0130] The data exchange module is responsible for being pushed down to the interactive terminal by the data verification target terminal.

[0131] Each of the embodiments in the specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the difference from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiment.

[0132] The above describes specific embodiments of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different than the order in the embodiments and still achieve the desired result. In addition, the processes depicted in the figures do not necessarily require the particular order shown or sequential order to achieve the desired results. In certain implementations, multitasking and parallel processing can be advantageous or possible.

[0133] The above only describes one or more embodiments of the specification, and is not intended to limit the specification. One or more embodiments of the specification can have various changes and variations for those skilled in the art. Any modification, equivalent replacement, improvement, etc. within the spirit and principles of one or more embodiments of the specification shall be included in the scope of the claims of the specification.

Claims

1. A low-latency audio and video security exchange method across physically isolated networks, characterized in that: Specifically include: Using the historical processing data of the data verification server of the audio and video interactive terminal, determining the verification delay deviation of different data verification servers in different time periods, and determining the synchronization abnormality period and the synchronization deviation server in the time period based on the verification delay deviation; Based on the interactive requirements of the audio and video, the overlapping data of the interactive period and the synchronization abnormality period are determined, and when it is determined that the synchronization abnormality state of the interactive period does not meet the requirements, the next step is entered; Determining a target terminal among the interactive terminals using setting data of a physically isolated network, and determining a data verification target terminal among the target terminals based on distribution data of security anomalies in the communication network between the target terminal and other interactive terminals; Real-time acquisition of interactive data between the target terminal for data verification and other interactive terminals, generating a verification processing method for the target terminal based on the interactive data, and sending it to the interactive terminal after the verification process passes; The method for determining the synchronization abnormality period in the period is: Determine the deviation of the verification processing delay of the audio and video data at different times by different data verification servers in the time period, and the deviation of the verification processing delay with other data verification servers at different times; Determine the delay deviation time of different data verification servers based on the deviation of verification processing delay with other data verification servers; According to the proportion of the number of data verification servers belonging to the delay deviation moment at different moments, the delay deviation coefficient at different moments is determined, and based on the average value of the delay deviation coefficient at different moments on different dates, it is determined whether the period is a synchronization abnormality period.

2. The low-latency audio and video secure exchange method across a physically isolated network as claimed in claim 1, characterized in that: The historical processing data of the data verification server includes the verification processing delay of the audio and video data of the data verification server at different times.

3. The low-latency audio and video secure exchange method across a physically isolated network as claimed in claim 1, characterized in that: The verification delay deviation includes the deviation of the verification processing delay of audio and video data at different times between different data verification servers.

4. The method for securely exchanging audio and video with low latency across physically isolated networks according to claim 1, wherein: When the average value of the delay deviation coefficients at different times on different dates is greater than a preset delay deviation coefficient threshold, the period is determined to be a synchronization abnormality period.

5. The low-latency audio and video secure exchange method across a physically isolated network as claimed in claim 1, characterized in that: When the synchronization abnormality state of the interaction period meets the requirements, audio and video data interaction processing is directly performed between different interaction terminals.

6. The method for securely exchanging audio and video with low latency across physically isolated networks according to claim 1, wherein: The target terminal among the interactive terminals is an interactive terminal set up in a physically isolated network.

7. The method for securely exchanging low-latency audio and video across physically isolated networks according to claim 1, wherein: The security anomaly event is an event in which a network security attack occurs.

8. The method for securely exchanging low-latency audio and video across physically isolated networks according to claim 1, wherein: The method for determining the verification processing mode of the data verification target terminal is: Determining other interactive terminals of the audio and video data obtained by the data verification target terminal, and using them as matching interactive terminals; Determine the total amount of data acquired at different times based on the number of matching interactive terminals and the amount of audio and video data acquired at different times; The verification processing method of the data verification target terminal is determined according to the total amount obtained at different times.

9. A low-latency audio and video security exchange platform across physically isolated networks, using a low-latency audio and video security exchange method across physically isolated networks according to any one of claims 1 to 8, characterized in that: Specifically include: Verification terminal determination module, verification method determination module, data exchange module; The verification terminal determination module is responsible for determining the data verification target terminal in the target terminal; The verification method determination module is responsible for generating a verification processing method for the data verification target terminal; The data exchange module is responsible for sending the interaction data that has been verified and processed by the data verification target terminal to the interaction terminal.

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