Network fluctuation detection method for router

Abstract

The invention discloses a network fluctuation detection method for a router, and relates to the field of network security management, and the method comprises the steps: monitoring the operation state information of the router and a device connected with the router in real time, constructing a cloud database, and storing the monitored state information of the router and the device connected with the router based on the cloud database; running state information of the router and equipment connected with the router is called from the cloud database, network fluctuation indexes are evaluated based on the running state information of the router and the equipment connected with the router, and the finally evaluated network fluctuation index is comprehensively output by combining two network fluctuation index evaluation results; the running state information of the router and the equipment connected with the router is monitored in real time and stored in the cloud database, the network fluctuation index is calculated and comprehensively evaluated by using a specific formula, the network fluctuation condition can be accurately judged, the potential risk can be timely found by setting the early warning threshold value for comparison, and when the network fluctuation is judged to be unsafe, the network fluctuation condition is judged to be safe. And the influence source can be accurately positioned.

Description

Technical Field

[0001] The present invention relates to the technical field of network security management, and specifically to a method for detecting network fluctuations for a router. Background Art

[0002] Router network fluctuations refer to unstable phenomena that occur during network transmission. For example, in the network composed of WiFi6, its network fluctuations are manifested as sudden changes in network speed, intermittent signals, and frequent disconnections of devices. Network fluctuations will affect the real-time service experience such as online games and video conferences, and even lead to data transmission errors, which need to be improved by optimizing device configurations and adjusting network environments.

[0003] The invention patent application with the application number 202110351714.7 discloses a method for detecting the network of a router, including: in response to a network detection instruction obtained from a smart screen, determining the information to be detected of the local router, where the information to be detected includes the unicast packet sending situation, permission configuration information, network configuration information, network port connection status information, and working status information: among them, the network detection instruction is used to instruct the local router to detect its own network status; according to the information to be detected, one, two, or more than two items in the information to be detected are selected according to a set detection logic to determine the network status of the local router; among them, according to the information to be detected, one, two, or more than two items in the information to be detected are selected according to a set detection logic to determine the network status of the local router, including: sending a unicast packet to a set website, and collecting the unicast packet sending situation; in the case of determining that the local router is connected to the external network according to the unicast packet sending situation, determining the network status of the local router according to the permission configuration information and / or the working status information; in the case of determining that the local router is not connected to the external network according to the unicast packet sending situation, determining the network status of the local router according to the network configuration information and / or the network port connection status information. This application aims to provide a problem of "a relatively complete network detection method for routers".

[0004] However, at present, part of the reason for router network fluctuations comes from the devices it is connected to. During the process of detecting network fluctuations, if the status of the devices connected to the router is fully considered and the devices are managed, the operating environment of the router can be effectively improved, thereby ensuring the stable operation of the router and avoiding large network fluctuations.

[0005] Therefore, a method for detecting network fluctuations for a router is proposed. Summary of the Invention

[0006] Aiming at the above-mentioned drawbacks of the prior art, the present invention provides a method for detecting network fluctuations for a router, which can effectively solve the problems of the prior art.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions; The present invention discloses a network fluctuation detection method for a router, including: Real-time monitoring of the operating status information of the router and its connected devices, constructing a cloud database, and storing the monitored status information of the router and its connected devices based on the cloud database; retrieving the operating status information of the router and its connected devices from the cloud database, respectively evaluating the network fluctuation index based on their respective operating status information, combining the evaluation results of the two network fluctuation indexes, and comprehensively outputting the finally evaluated network fluctuation index; setting a network fluctuation warning threshold, obtaining the finally evaluated network fluctuation index, comparing the finally evaluated network fluctuation index with the network fluctuation warning threshold to determine whether the current network fluctuation is safe; if the determination result is yes, the refresh step is executed; if the determination result is no, each device connected to the router is used as an independent network fluctuation index evaluation target for separate evaluation, and the evaluation results of the network fluctuation indexes of each device are applied to the determination process of whether the network fluctuation is safe to determine the device pointed to by the network fluctuation impact source; obtaining the device pointed to by the network fluctuation impact source, disconnecting the connection between the device pointed to by the network fluctuation impact source and the router, synchronously setting a prohibited connection time, causing the device disconnected from the router to start timing from the disconnection time, and the router always rejecting the connection request of the device within the prohibited connection time.

[0008] Furthermore, in the monitoring stage of the operating status information of the router and its connected devices, a monitoring period is synchronously set, subject to: ; In the formula: is the monitoring period; is the monitoring period base number; is the adjustment factor; is the normalization factor; Among them, the monitoring period base number is user-defined, and the normalization factor is used to control During the stage of monitoring the operating status information of the router and its connected devices based on the monitoring period, the detection period applied in the next period is updated based on the above formula in each current period. The monitored operating status information of the router includes: operating memory usage rate, signal strength, NAT translation table, frequency of DHCP server allocating and recycling IP addresses, and port connection status information. The monitored operating status information of the router-connected devices includes: data transmission rate, packet loss rate and error rate, signal strength, disconnection and reconnection frequency.

[0009] Further, when the router connection device goes online or offline and is updated, the monitoring of the operating status information of the router and its connection devices is performed once, and the adjustment factor is set based on the stored status information of the router and its connection devices; ; In the formula: is the router signal strength; is the usage rate of the router's operating memory; is the number of devices connected to the router; Among them, , , all come from the previous monitoring period.

[0010] Further, when the cloud database stores the status information of the router and its connection devices, it is stored separately based on the source of the status information, and the status information stored in each separate storage interval is sorted and stored based on the time sequence of its source monitoring period; When the cloud database updates the stored status information from the router and its connection devices each time, it synchronously performs an operation to clean the operating status information; Among them, the cleaning operation of the operating status information is performed in each separate storage interval. During the cleaning operation stage, the consistency between each operating status information is compared, and one of the two groups of operating status information with exactly the same comparison result is deleted to complete the cleaning operation of the operating status information. When each group of operating status information is stored in the cloud database, it has an independent storage location. After the cleaning operation of the operating status information is completed, the storage location of the remaining operating status information remains unchanged, and the original storage location of the deleted operating status information is still retained.

[0011] Further, in the network fluctuation index evaluation stage, three groups of the latest stored operating status information in each separate storage interval in the cloud database are applied, and the network fluctuation index evaluated based on the router operating status information is: ; In the formula: is the network fluctuation index at the router end; are the maximum and minimum values of the usage rate of the router's operating memory; are the maximum and minimum values of the router signal strength; is the average value of the update frequency of the entries in the NAT conversion table; is the average value of the frequency of the DHCP server allocating and recycling IP addresses; is the connection rate of the router port; is the number of errors in the entries in the NAT conversion table; is the total number of entries in the NAT conversion table; Among them, The larger it is, the greater the network fluctuation of the router. Conversely, the smaller it is, the smaller the network fluctuation of the router.

[0012] Furthermore, the network fluctuation index evaluated based on the running status information of the router-connected devices is: ; In the formula: is the network fluctuation index of the router-connected device side; is the total number of router-connected devices; is the average connection strength between the i-th device and the router; is the maximum data transfer rate and the minimum data transfer rate of the i-th device; is the configuration weight of the i-th device; is the total packet loss rate, error rate, and total amount during the historical data transfer process of the i-th device; is the average value of the disconnection and reconnection frequencies of all router-connected devices; Among them, The larger it is, the smaller the network fluctuation of the router-connected device side. Conversely, the smaller it is, the greater the network fluctuation of the router-connected device side. , and the value of the configuration weight is determined according to the cumulative connection duration between its corresponding device and the router. The longer the cumulative connection duration, the larger the value. Conversely, the smaller the value.

[0013] Furthermore, the finally evaluated network fluctuation index is: ; In the formula: is the network fluctuation index of the router side; is the network fluctuation index of the router-connected device side; The determination logic of whether the network fluctuation is safe is expressed as: ; In the formula: is the network fluctuation warning threshold; Among them, if formula (1) holds, it means the network fluctuation is safe. If formula (2) holds, it means the network fluctuation is unsafe.

[0014] Furthermore, in the stage of separately evaluating each device connected to the router as an independent network fluctuation index evaluation target, using The logical calculation formula to calculate the corresponding network fluctuation index of each device, and the calculation result is denoted as , and Substitute it into the calculation formula of the network fluctuation index for the final evaluation, then there is , and then substitute into the determination logic of whether the network fluctuation is safe to determine the device pointed to by the result of unsafe network fluctuation, that is, it is recorded as the device pointed to by the network fluctuation impact source.

[0015] Furthermore, when the device included in the determination result of the device pointed to by the network fluctuation impact source is an empty set, the network fluctuation impact source is recorded as the router.

[0016] Furthermore, when the network fluctuation impact source is a device, during the stage of disconnecting the connection between the device and the router, a pop-up window message is synchronously sent to the device, and the content of the pop-up window message is the dynamic countdown of the prohibited connection time; When the network fluctuation impact source is a router, all devices connected to the router are disconnected, and after the router is maintained offline by the router administrator, the permission for the router to connect to the device is reopened.

[0017] Adopting the technical solution provided by the present invention, compared with the known prior art, it has the following beneficial effects: The present invention provides a network fluctuation detection method for a router. This method can accurately judge the network fluctuation situation by real-time monitoring the running state information of the router and its connected devices and storing it in the cloud database, calculating and comprehensively evaluating the network fluctuation index using a specific formula, and by setting an early warning threshold for comparison, potential risks can be discovered in time. When it is determined that the network fluctuation is unsafe, the impact source can be accurately located. If it is a device, the connection is disconnected and the prohibited connection time is set, and a countdown pop-up reminder will also be sent to the device; if it is a router, the administrator is notified to maintain it offline and the connection permission is reopened. This series of operations effectively guarantees the stable operation of the network, greatly improves the network management efficiency and the user's network usage experience, and provides strong support for the reliability and security of the network. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0019] Figure 1 It is a schematic flow chart of a network fluctuation detection method for a router. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0021] The following further describes the present invention with reference to embodiments. Embodiment:

[0022] A network fluctuation detection method for a router in this embodiment is as Figure 1 shown and includes: Step 1: Real-time monitor the operating status information of the router and its connected devices, construct a cloud database, and store the monitored status information of the router and its connected devices based on the cloud database; In the monitoring stage of the operating status information of the router and its connected devices, synchronously set the monitoring period, which follows: ; In the formula: is the monitoring period; is the monitoring period base; is the adjustment factor; is the normalization factor; Among them, the monitoring period base is user-defined, and the normalization factor is used to control . In the stage of monitoring the operating status information of the router and its connected devices based on the monitoring period, update the detection period applied in the next period based on the above formula in each current period. The monitored operating status information of the router includes: operating memory usage rate, signal strength, NAT translation table, frequency of DHCP server allocating and reclaiming IP addresses, port connection status information. The monitored operating status information of the router's connected devices includes: data transmission rate, packet loss rate and error rate, signal strength, disconnection and reconnection frequency; Through the above logical formula calculation, a dynamic period is provided for the method in this embodiment during the execution of operating status information monitoring, thereby ensuring the real-time nature of operating status information monitoring and ensuring that the monitoring results of operating status information have higher value; When the router's connected devices are updated for online or offline, perform a monitoring of the operating status information of the router and its connected devices once. The value of the adjustment factor is set based on the stored status information of the router and its connected devices; ; In the formula: is the router signal strength; is the usage rate of the router's operating memory; is the number of devices connected to the router; Among them, , , all come from the previous monitoring period; Through the above logical formula, the value of the adjustment factor in the monitoring period calculation formula is limited; When the cloud database stores the status information of the router and its connected devices, it stores them separately based on the source of the status information, and the status information stored in each separate storage interval is sorted and stored based on the time sequence of its source monitoring period; When the cloud database updates the stored status information from the router and its connected devices each time, it synchronously executes the operation of cleaning the running status information; Among them, the cleaning operation of the running status information is executed in each separate storage interval. During the cleaning operation stage, the consistency between each running status information is compared, and one of the two groups of running status information with exactly the same comparison result is selected for deletion to complete the cleaning operation of the running status information. When each group of running status information is stored in the cloud database, it has an independent storage location. After the cleaning operation of the running status information is completed, the storage location of the remaining running status information remains unchanged, and the original storage location of the deleted running status information is still retained; Step 2: Retrieve the running status information of the router and its connected devices in the cloud database, evaluate the network fluctuation index based on their respective running status information, and comprehensively output the finally evaluated network fluctuation index by combining the evaluation results of the two network fluctuation indices; During the evaluation stage of the network fluctuation index, three groups of the latest stored running status information in each separate storage interval in the cloud database are used. The network fluctuation index evaluated based on the router running status information is: ; In the formula: is the network fluctuation index at the router end; are the maximum and minimum values of the router's operating memory usage rate; are the maximum and minimum values of the router signal strength; is the average value of the update frequency of the entries in the NAT conversion table; is the average value of the update frequency of the entries in the NAT conversion table; is the router port connection rate; is the number of errors in the entries in the NAT conversion table; is the total number of entries in the NAT conversion table; Among them, The larger it is, the greater the network fluctuation of the router. Conversely, it indicates that the network fluctuation of the router is smaller; The network fluctuation index evaluated based on the running status information of the devices connected to the router is: ; In the formula: is the network fluctuation index at the device end connected to the router; is the total number of devices connected to the router; is the average connection strength between the i-th device and the router; is the maximum data transfer rate and the minimum data transfer rate of the i-th device; is the configuration weight of the i-th device; is the total packet loss rate, error rate and total amount during the data transfer process of the historical operation data of the i-th device; is the total packet loss rate, error rate and total amount during the data transfer process of the historical operation data of the i-th device; The larger it is, the smaller the network fluctuation at the device end connected to the router. Conversely, it indicates that the network fluctuation at the device end connected to the router is larger. , and the value of the configuration weight is determined according to the cumulative connection duration between its corresponding device and the router. The longer the cumulative connection duration, the larger the value. Conversely, the smaller the value; The finally evaluated network fluctuation index is: ; In the formula: is the network fluctuation index at the router end; is the network fluctuation index at the device end connected to the router; The determination logic of whether the network fluctuation is safe is expressed as: ; In the formula: is the network fluctuation warning threshold; Among them, if formula (1) holds, it indicates that the network fluctuation is safe. If formula (2) holds, it indicates that the network fluctuation is unsafe; Through the above logical formula, the network fluctuation index of the router and its connected devices and the comprehensive network fluctuation index are calculated step by step to provide parameter support for the determination of the method in this embodiment, ensuring the accurate output of the determination result; Step 3: Set the network fluctuation warning threshold, obtain the finally evaluated network fluctuation index, and determine whether the current network fluctuation is safe based on the comparison between the finally evaluated network fluctuation index and the network fluctuation warning threshold; Step 4: If the determination result is yes, refresh and execute the steps; Step 5: If the determination result is no, each device connected to the router is used as an independent target for evaluating the network fluctuation index for separate evaluation. The evaluation results of the network fluctuation indexes of each device are applied to the determination process of whether the network fluctuation is safe to determine the device pointed to by the network fluctuation impact source; In the stage of separately evaluating each device connected to the router as an independent target for evaluating the network fluctuation index, use the logical calculation formula of to calculate the corresponding network fluctuation index for each device, and record the calculation result as . Substitute into the calculation formula of the network fluctuation index for the final evaluation, then there is . Then substitute into the determination logic of whether the network fluctuation is safe to determine the device pointed to by the result of unsafe network fluctuation, that is, record it as the device pointed to by the network fluctuation impact source; When the set of devices included in the determination result of the device pointed to by the network fluctuation impact source is an empty set, the network fluctuation impact source is recorded as the router; When the network fluctuation impact source is a device, during the stage of disconnecting the device from the router, a pop-up window message is synchronously sent to the device, and the content of the pop-up window message is the dynamic countdown of the prohibited connection time; When the network fluctuation impact source is the router, all devices connected to the router are disconnected, and after the router administrator maintains the router offline, the permission for the router to connect to devices is reopened.

[0023] In this embodiment, by operations such as real-time monitoring of the status of the router and connected devices, building a cloud database, and evaluating the network fluctuation index, the safety of network fluctuations can be determined in a timely manner. Once unsafe factors are found, the impact source can be accurately located and disconnection measures can be taken to effectively ensure the stable operation of the network and improve the network usage experience, especially suitable for deployment scenarios such as WiFi6.

[0024] In summary, in the above embodiments, the method can accurately judge the network fluctuation situation by real-time monitoring the operation status information of the router and its connected devices and storing it in the cloud database, calculating and comprehensively evaluating the network fluctuation index using a specific formula. By setting a warning threshold for comparison, potential risks can be detected in a timely manner. When it is determined that the network fluctuation is unsafe, the source of influence can be accurately located. If it is a device, the connection is disconnected and the prohibited connection time is set, and a countdown pop-up reminder is sent to the device; if it is a router, the administrator is notified to perform offline maintenance and reopen the connection permission. These series of operations effectively ensure the stable operation of the network, greatly improve the network management efficiency and the user's network usage experience, and provide strong support for the reliability and security of the network.

[0025] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A network fluctuation detection method for a router, characterized in that Including: Step 1: Monitor the running status information of the router and its connected devices in real time, build a cloud database, and store the monitored status information of the router and its connected devices based on the cloud database; Step 2: Retrieve the running status information of the router and its connected devices from the cloud database, evaluate the network fluctuation index respectively based on their respective running status information, and comprehensively output the finally evaluated network fluctuation index by combining the evaluation results of the two network fluctuation indexes; Step 3: Set a network fluctuation warning threshold, obtain the finally evaluated network fluctuation index, and determine whether the current network fluctuation is safe based on the comparison between the finally evaluated network fluctuation index and the network fluctuation warning threshold; Step 4: If the determination result is yes, refresh the step execution; Step 5: If the determination result is no, evaluate each device connected to the router as an independent target for network fluctuation index evaluation, and apply the evaluation results of the network fluctuation indexes of each device to the determination process of whether the network fluctuation is safe to determine the device pointed to by the network fluctuation influence source; Step 6: Obtain the device pointed to by the network fluctuation influence source, disconnect the connection between the device pointed to by the network fluctuation influence source and the router, synchronously set the prohibited connection time, and let the device disconnected from the router start timing from the disconnection time. The router always rejects the connection request of the device within the prohibited connection time.

2. The network fluctuation detection method for a router according to claim 1, wherein During the monitoring stage of the running status information of the router and its connected devices, synchronously set the monitoring period, subject to: ； Wherein: is the monitoring period; is the monitoring period base number; is the adjustment factor; is the normalization factor; Among them, the monitoring period base is customized by the client, and the normalization factor is used to control , in the stage of monitoring the operating status information of the router and its connected devices based on the monitoring period, the detection period applied in the next period is updated based on the above formula in each current period. The monitored router operating status information includes: operating memory usage rate, signal strength, NAT translation table, frequency of DHCP server allocating and recycling IP addresses, port connection status information. The monitored router connected device operating status information includes: data transmission rate, packet loss rate and error rate, signal strength, disconnection and reconnection frequency.

3. The network fluctuation detection method for a router according to claim 2, wherein When the router connection device goes online or offline and is updated, it performs a monitoring of the operating status information of the router and its connected devices. The adjustment factor is set based on the stored status information of the router and its connected devices; ； Wherein: is the router signal strength; is the router running memory utilization rate; is the number of devices connected to the router; Among them, , , all originate from the previous monitoring period.

4. A network fluctuation detection method for a router according to claim 1, characterized in that When the cloud database stores the status information of the router and its connected devices, it is stored separately based on the source of the status information, and the status information stored in each separate storage interval is sorted and stored based on the timing of its source monitoring period; When the cloud database updates the stored status information from the router and its connected devices each time, it synchronously executes the cleaning operation of the running status information; Among them, the cleaning operation of the running status information is executed in each separate storage interval. During the cleaning operation stage, compare the consistency between each running status information. Selectively delete one of the two sets of running status information with completely consistent comparison results to complete the cleaning operation of the running status information. Each set of running status information has an independent storage location when stored in the cloud database. After the cleaning operation of the running status information is completed, the storage location of the remaining running status information remains unchanged, and the original storage location of the deleted running status information is still retained.

5. A network fluctuation detection method for a router according to claim 1, characterized in that, In the network fluctuation index evaluation stage, apply the three sets of latest stored running status information in each separate storage interval of the cloud database. The network fluctuation index evaluated based on the running status information of the router is: ； Wherein: is the network fluctuation index at the router end; are the maximum and minimum values of the router's running memory utilization rate; are the maximum and minimum values of the router signal strength; is the average value of the update frequency of the entries in the NAT conversion table; is the average value of the frequency of the DHCP server allocating and reclaiming IP addresses; is the router port connection rate; is the number of errors in the entries in the NAT conversion table; is the total number of entries in the NAT conversion table; Among them, The larger it is, the greater the network fluctuation of the router. Conversely, the smaller it is, the smaller the network fluctuation of the router.

6. The network fluctuation detection method for a router according to claim 1, characterized in that, The network fluctuation index evaluated based on the running status information of the devices connected to the router is: ； Wherein: is the network fluctuation index of the router connected device; is the total number of devices connected to the router; is the average connection strength between the i-th device and the router; is the maximum data transfer rate and the minimum data transfer rate of the i-th device; is the configuration weight of the i-th device; is the total packet loss rate, error rate and total amount during the data transfer process of the historical operation of the i-th device; is the average value of the disconnection and reconnection frequencies of all router-connected devices; Among them, The larger it is, the smaller the network fluctuation of the device connected to the router is. Conversely, the larger the network fluctuation of the device connected to the router is. , the value of the configured weight is determined according to the cumulative connection duration between its corresponding device and the router. The longer the cumulative connection duration is, the larger the value is. Conversely, the smaller the value is.

7. A network fluctuation detection method for a router according to claim 1, characterized in that, The finally evaluated network fluctuation index is: ； Wherein: is the network fluctuation index at the router end; is the network fluctuation index at the router-connected device end; The determination logic of whether the network fluctuation is safe is expressed as: ； In the formula: is the network fluctuation warning threshold; Among them, if formula (1) holds, it means the network fluctuation is safe; if formula (2) holds, it means the network fluctuation is unsafe.

8. A network fluctuation detection method for a router according to claim 1, characterized in that In the stage of separately evaluating each device connected by the router as an independent network fluctuation index evaluation target, using 's logical calculation formula to calculate the corresponding network fluctuation index of each device, and recording the calculation result as . Substituting into the calculation formula of the network fluctuation index for the final evaluation, then there is . Then substituting into the determination logic of whether the network fluctuation is safe to determine the device pointed to by the result of unsafe network fluctuation, that is, recorded as the device pointed to by the network fluctuation influence source.

9. The network fluctuation detection method for a router according to claim 8, characterized in that, When the set of devices included in the determination result of the device pointed to by the network fluctuation influence source is an empty set, the network fluctuation influence source is recorded as the router.

10. A network fluctuation detection method for a router according to claim 1, characterized in that When the source of network fluctuation impact is a device, during the stage of disconnecting the device from the router, a pop-up message is synchronously sent to the device, and the content of the pop-up message is a dynamic countdown of the prohibited connection time; When the source of network fluctuation impact is a router, all devices connected to the router are disconnected, and after the router administrator maintains the router offline, the permission for the router to connect to devices is reopened.

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