Computer network management system

Abstract

The invention relates to a computer network management system which comprises a content screen capture mechanism, a signal enhancement device, a gamma correction device, an edge sharpening device, a pattern distinguishing device and a drainage judgment device. According to the invention, the network can be effectively managed.

Description

Technical Field

[0001] The present invention relates to the field of computer management, and in particular to a computer network management system. Background Art

[0002] CN113824733A discloses a computer network management system, including: a flow distribution module, used to realize the distribution of network flow based on the working attributes of the accessed computer; and also used to realize the redistribution of network flow based on non-abnormal flow requests; a network abnormality identification module, used to realize the monitoring of the total flow and the real-time flow of each computer terminal, when the total flow and / or the real-time flow of each computer terminal is lower than a preset threshold, it is determined that the current network is abnormal; an abnormal flow request identification module, used to realize the identification of each computer terminal that is higher than the historical flow request; an abnormal behavior evaluation module, which is started when an abnormal flow request is identified, and realizes the recording of the current operation behavior in the form of script recording.

[0003] CN113098832A discloses a model established by a machine learning method for detecting buffer overflow attacks in network intrusion activities. The present invention first collects attack traffic samples by reproducing a large number of remote buffer overflow vulnerability exploits, and then combines normal data traffic to form a complete data set. The method first extracts basic information of the sample traffic to form a complete TCP stream, and then uses the unique feature extraction rules of the method to extract features from the sample, and uses machine learning methods of different models to train, test and compare the pre-processed features, and selects the model with the best classification effect as a classifier for detecting remote buffer overflow vulnerability attacks. The method has the characteristics of high accuracy, low false alarm rate, short time consumption, etc. Using the method to perform remote buffer overflow attack detection can effectively identify malicious traffic with buffer overflow attack behavior in the network, which is convenient for interception and defense.

[0004] In the existing technology, short videos are short videos, which are a form of Internet content dissemination. Generally, they are videos with a duration of less than 5 minutes that are disseminated on new Internet media. With the popularization of mobile terminals and the acceleration of the Internet, short, flat, fast and high-traffic content has gradually gained the favor of major platforms and audiences. As a group of high-quality content producers gradually emerged in the video industry, various operators have entered the short video industry and recruited a group of excellent content production teams to join. The market size of the short video field is getting bigger and bigger.

[0005] When managing the content of short videos, the operators to which the short videos belong do not want the marks, i.e., LOGOs, of other operators to appear in the short videos. However, in order to gain revenue from multiple short video operators, some short video creators often place the marks of other operators in inconspicuous playback positions or in playback positions with less distinctive content, making it difficult for the operators to distinguish them. Summary of the invention

[0006] In order to solve the technical problems in the prior art, the present invention provides a computer network management system, the system comprising: The content screenshot mechanism is set at the server end for performing live broadcast management, and is used to randomly screenshot the live broadcast screen of the short video live broadcast room operated by the short video operator to obtain the corresponding randomly collected screen; A signal enhancement device, which is arranged at the server end for performing live broadcast management and is connected to the content screenshot mechanism, is used to perform image spatial domain enhancement processing on the received random collection pictures to obtain and output corresponding spatial domain enhanced images; A gamma correction device, connected to the signal enhancement device, for performing gamma correction processing on the received spatial domain enhanced image to obtain and output a corresponding gamma corrected image; an edge sharpening device, connected to the gamma correction device, for performing edge sharpening processing on the received gamma-corrected image to obtain and output a corresponding edge-sharpened image; A pattern resolution device, comprising a region extraction unit, an area detection unit and a numerical analysis unit, wherein the area detection unit is connected to the region extraction unit and the numerical analysis unit respectively, and the pattern resolution device is used to overlap each imaging region in the edge-sharpened image with a reference pattern of a corporate LOGO of a short video operator other than the short video operator after scaling processing to determine a ratio value of the number of pixels in the overlapped part of the imaging region divided by the number of pixels in the non-overlapped part, obtain respective ratio values ​​corresponding to respective imaging regions in the edge-sharpened image, and use the imaging region with the largest corresponding ratio value as the target imaging region, and determine that the reference pattern exists in the edge-sharpened image when the area percentage occupied by the target imaging region in the edge-sharpened image is greater than or equal to a set percentage limit, and determine that the reference pattern does not exist in the edge-sharpened image when the area percentage occupied by the target imaging region in the edge-sharpened image is less than the set percentage limit; The traffic diversion judgment device is connected to the pattern recognition device and is used to judge whether the short video live broadcast room is suspected of traffic diversion and restrict traffic when the pattern recognition device determines that there is a reference pattern in the edge-sharpened image.

[0007] The present invention can intelligently analyze the presence of a reference pattern of a corporate LOGO of other short video operators different from the short video operator in the live broadcast picture of the short video live broadcast room operated by the short video operator, and judge that the short video live broadcast room is suspected of diverting traffic and restrict the traffic, thereby forming a deterrent to deliberate diversion behavior. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The embodiments of the present invention will be described below with reference to the accompanying drawings.

[0009] Figure 1 It is a structural block diagram of a computer network management system according to the primary embodiment of the present invention.

[0010] Figure 2 It is a structural block diagram of a computer network management system according to a secondary embodiment of the present invention.

[0011] Figure 3 FIG. 1 is a structural block diagram of a computer network management system according to another embodiment of the present invention. DETAILED DESCRIPTION

[0012] The embodiments of the computer network management system of the present invention will be described in detail below with reference to the accompanying drawings.

[0013] Primary Embodiment

[0014] Figure 1 The structure block diagram of the computer network management system shown in the primary embodiment of the present invention comprises: The content screenshot mechanism is set at the server end for performing live broadcast management, and is used to randomly screenshot the live broadcast screen of the short video live broadcast room operated by the short video operator to obtain the corresponding randomly collected screen; For example, a content screenshot mechanism is provided on a server side for performing live broadcast management, and is used to randomly screenshot live broadcast pictures of a short video live broadcast room operated by a short video operator to obtain corresponding randomly collected pictures, including: the server side for performing live broadcast management is a blockchain server or a cloud computing server; A signal enhancement device, which is arranged at the server end for performing live broadcast management and is connected to the content screenshot mechanism, is used to perform image spatial domain enhancement processing on the received random collection pictures to obtain and output corresponding spatial domain enhanced images; A gamma correction device, connected to the signal enhancement device, for performing gamma correction processing on the received spatial domain enhanced image to obtain and output a corresponding gamma corrected image; an edge sharpening device, connected to the gamma correction device, for performing edge sharpening processing on the received gamma-corrected image to obtain and output a corresponding edge-sharpened image; A pattern resolution device, comprising a region extraction unit, an area detection unit and a numerical analysis unit, wherein the area detection unit is connected to the region extraction unit and the numerical analysis unit respectively, and the pattern resolution device is used to overlap each imaging region in the edge-sharpened image with a reference pattern of a corporate LOGO of a short video operator other than the short video operator after scaling processing to determine a ratio value of the number of pixels in the overlapped part of the imaging region divided by the number of pixels in the non-overlapped part, obtain respective ratio values ​​corresponding to respective imaging regions in the edge-sharpened image, and use the imaging region with the largest corresponding ratio value as the target imaging region, and determine that the reference pattern exists in the edge-sharpened image when the area percentage occupied by the target imaging region in the edge-sharpened image is greater than or equal to a set percentage limit, and determine that the reference pattern does not exist in the edge-sharpened image when the area percentage occupied by the target imaging region in the edge-sharpened image is less than the set percentage limit; A traffic diversion judgment device, connected to the pattern recognition device, for judging that the short video live broadcast room is suspected of traffic diversion and performing traffic restriction when the pattern recognition device determines that there is a reference pattern in the edge-sharpened image; Among them, the diversion judgment device is also used to determine that there is no suspicion of diversion in the short video live broadcast room and maintain the current traffic distribution when the pattern recognition device determines that there is no reference pattern in the edge-sharpened image.

[0015] Secondary Examples

[0016] Figure 2 It is a structural block diagram of a computer network management system according to a secondary embodiment of the present invention.

[0017] Figure 2 The computer network management system in may include: The content screenshot mechanism is set at the server end for performing live broadcast management, and is used to randomly screenshot the live broadcast screen of the short video live broadcast room operated by the short video operator to obtain the corresponding randomly collected screen; A signal enhancement device, which is arranged at the server end for performing live broadcast management and is connected to the content screenshot mechanism, is used to perform image spatial domain enhancement processing on the received random collection pictures to obtain and output corresponding spatial domain enhanced images; A gamma correction device, connected to the signal enhancement device, for performing gamma correction processing on the received spatial domain enhanced image to obtain and output a corresponding gamma corrected image; an edge sharpening device, connected to the gamma correction device, for performing edge sharpening processing on the received gamma-corrected image to obtain and output a corresponding edge-sharpened image; A pattern resolution device, comprising a region extraction unit, an area detection unit and a numerical analysis unit, wherein the area detection unit is connected to the region extraction unit and the numerical analysis unit respectively, and the pattern resolution device is used to overlap each imaging region in the edge-sharpened image with a reference pattern of a corporate LOGO of a short video operator other than the short video operator after scaling processing to determine a ratio value of the number of pixels in the overlapped part of the imaging region divided by the number of pixels in the non-overlapped part, obtain respective ratio values ​​corresponding to respective imaging regions in the edge-sharpened image, and use the imaging region with the largest corresponding ratio value as the target imaging region, and determine that the reference pattern exists in the edge-sharpened image when the area percentage occupied by the target imaging region in the edge-sharpened image is greater than or equal to a set percentage limit, and determine that the reference pattern does not exist in the edge-sharpened image when the area percentage occupied by the target imaging region in the edge-sharpened image is less than the set percentage limit; A traffic diversion judgment device, connected to the pattern recognition device, for judging that the short video live broadcast room is suspected of traffic diversion and performing traffic restriction when the pattern recognition device determines that there is a reference pattern in the edge-sharpened image; a picture enhancement mechanism, connected to the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device, respectively, for performing picture enhancement on the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device, so as to obtain respective picture enhanced images corresponding to the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device; The steps of performing picture enhancement on the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device to obtain respective picture enhanced images corresponding to the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device include: performing guided filtering operations on the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device in the first picture enhancement step; The steps of performing image enhancement on the output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device to obtain enhanced images corresponding to the output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device respectively further include: performing image frequency domain enhancement on the output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device respectively in the second step of image enhancement; The steps of performing picture enhancement on the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device to obtain respective picture enhanced images corresponding to the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device also include: performing a cubic polynomial interpolation operation on the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device in a third picture enhancement step; Among them, the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device are respectively enhanced to obtain respective enhanced images corresponding to the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device, and also include: the fourth step of picture enhancement performs high-pass filtering sharpening operations on the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device.

[0018] Again, the example

[0019] Figure 3 FIG. 1 is a structural block diagram of a computer network management system according to another embodiment of the present invention.

[0020] Figure 3 The computer network management system in may include: The content screenshot mechanism is set at the server end for performing live broadcast management, and is used to randomly screenshot the live broadcast screen of the short video live broadcast room operated by the short video operator to obtain the corresponding randomly collected screen; A signal enhancement device, which is arranged at the server end for performing live broadcast management and is connected to the content screenshot mechanism, is used to perform image spatial domain enhancement processing on the received random collection pictures to obtain and output corresponding spatial domain enhanced images; A gamma correction device, connected to the signal enhancement device, for performing gamma correction processing on the received spatial domain enhanced image to obtain and output a corresponding gamma corrected image; an edge sharpening device, connected to the gamma correction device, for performing edge sharpening processing on the received gamma-corrected image to obtain and output a corresponding edge-sharpened image; A pattern resolution device, comprising a region extraction unit, an area detection unit and a numerical analysis unit, wherein the area detection unit is connected to the region extraction unit and the numerical analysis unit respectively, and the pattern resolution device is used to overlap each imaging region in the edge-sharpened image with a reference pattern of a corporate LOGO of a short video operator other than the short video operator after scaling processing to determine a ratio value of the number of pixels in the overlapped part of the imaging region divided by the number of pixels in the non-overlapped part, obtain respective ratio values ​​corresponding to respective imaging regions in the edge-sharpened image, and use the imaging region with the largest corresponding ratio value as the target imaging region, and determine that the reference pattern exists in the edge-sharpened image when the area percentage occupied by the target imaging region in the edge-sharpened image is greater than or equal to a set percentage limit, and determine that the reference pattern does not exist in the edge-sharpened image when the area percentage occupied by the target imaging region in the edge-sharpened image is less than the set percentage limit; A traffic diversion judgment device, connected to the pattern recognition device, for judging that the short video live broadcast room is suspected of traffic diversion and performing traffic restriction when the pattern recognition device determines that there is a reference pattern in the edge-sharpened image; a temperature measurement mechanism, connected to the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device, respectively, for performing real-time measurement of the respective on-site temperatures of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device, the temperature measurement mechanism comprising three different temperature measurement units; The temperature measurement mechanism is connected to the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device, respectively, and is used to perform real-time measurement of the respective on-site temperatures of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device. The temperature measurement mechanism includes three different temperature measurement units: the three different temperature measurement units are three different contact temperature measurement units; And wherein, the temperature measuring mechanism is respectively connected to the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device, and is used to perform real-time measurement of the respective on-site temperatures of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device, and the temperature measuring mechanism includes three different temperature measurement units, including: the three different temperature measurement units are three different non-contact temperature measurement units.

[0021] In addition, in the computer network management system, a content screenshot mechanism is arranged on the server side that performs live broadcast management, and is used to randomly screenshot the live broadcast screen of the short video live broadcast room operated by the short video operator to obtain the corresponding randomly collected screen, including: the server side that performs live broadcast management is a big data server side, a cloud computing server side or a blockchain server side that performs live broadcast management.

[0022] The technical solution of the present invention has the following characteristics for solving the technical problem: First: when the live broadcast screen of a short video live broadcast room operated by a short video operator is intelligently analyzed to have a benchmark pattern of the corporate LOGO of another short video operator different from that of the short video operator, the short video live broadcast room is judged to be suspected of diverting traffic and traffic is restricted, thereby forming a deterrent to deliberate diversion behavior; Second: scaling each imaging area in the edge-sharpened image and overlapping it with the reference pattern of the corporate LOGO of other short video operators different from the short video operators to determine the ratio value of the number of pixels in the overlapped part of the imaging area divided by the number of pixels in the non-overlapped part, so as to obtain the respective ratio values ​​corresponding to the respective imaging areas in the edge-sharpened image, and taking the imaging area with the largest corresponding ratio value as the target imaging area; Third: when the percentage of the area of ​​the edge-sharpened image occupied by the target imaging area is greater than or equal to the set percentage limit, it is determined that there is a reference pattern in the edge-sharpened image; when the percentage of the area of ​​the edge-sharpened image occupied by the target imaging area is less than the set percentage limit, it is determined that there is no reference pattern in the edge-sharpened image.

[0023] The computer network management system of the present invention can solve the technical problem in the prior art that other short video operator logos with subtle differences are easily present in short video content. When a baseline pattern of the corporate LOGO of other short video operators different from that of the short video operator is intelligently analyzed in the live broadcast screen of the short video live broadcast room operated by the short video operator, it can judge that the short video live broadcast room is suspected of diverting traffic and restrict the traffic, thereby forming a deterrent to deliberate diversion behavior and realizing effective management of short video content.

[0024] Those skilled in the art will readily appreciate the additional advantages and changes. Therefore, the present invention in its broader aspects is not limited to the specific details and representative embodiments shown and described herein. Therefore, various changes may be made without departing from the spirit or scope of the general inventive concept defined by the appended claims and their equivalents.

Claims

1. A computer network management system, characterized in that: The system comprises: The content screenshot mechanism is set at the server end for performing live broadcast management, and is used to randomly screenshot the live broadcast screen of the short video live broadcast room operated by the short video operator to obtain the corresponding randomly collected screen; A signal enhancement device, which is arranged at the server end for performing live broadcast management and is connected to the content screenshot mechanism, is used to perform image spatial domain enhancement processing on the received random collection pictures to obtain and output corresponding spatial domain enhanced images; A gamma correction device, connected to the signal enhancement device, for performing gamma correction processing on the received spatial domain enhanced image to obtain and output a corresponding gamma corrected image; an edge sharpening device, connected to the gamma correction device, for performing edge sharpening processing on the received gamma-corrected image to obtain and output a corresponding edge-sharpened image; A pattern resolution device, comprising a region extraction unit, an area detection unit and a numerical analysis unit, wherein the area detection unit is connected to the region extraction unit and the numerical analysis unit respectively, and the pattern resolution device is used to overlap each imaging region in the edge-sharpened image with a reference pattern of a corporate LOGO of a short video operator other than the short video operator after scaling processing to determine a ratio value of the number of pixels in the overlapped part of the imaging region divided by the number of pixels in the non-overlapped part, obtain respective ratio values ​​corresponding to respective imaging regions in the edge-sharpened image, and use the imaging region with the largest corresponding ratio value as the target imaging region, and determine that the reference pattern exists in the edge-sharpened image when the area percentage occupied by the target imaging region in the edge-sharpened image is greater than or equal to a set percentage limit, and determine that the reference pattern does not exist in the edge-sharpened image when the area percentage occupied by the target imaging region in the edge-sharpened image is less than the set percentage limit; The traffic diversion judgment device is connected to the pattern recognition device and is used to judge whether the short video live broadcast room is suspected of traffic diversion and restrict traffic when the pattern recognition device determines that there is a reference pattern in the edge-sharpened image.

2. The computer network management system according to claim 1, characterized in that: The diversion judgment device is also used to determine that there is no suspicion of diversion in the short video live broadcast room and maintain the current traffic distribution when the pattern resolution device determines that there is no reference pattern in the edge-sharpened image.

3. The computer network management system according to claim 2, characterized in that: The system further comprises: a picture enhancement mechanism, connected to the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device, respectively, for performing picture enhancement on the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device, so as to obtain respective picture enhanced images corresponding to the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device; Among them, the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device are respectively enhanced to obtain respective enhanced images corresponding to the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device, including: the first step of picture enhancement is to perform guided filtering operations on the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device.

4. The computer network management system according to claim 3, characterized in that: The respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device are respectively enhanced to obtain respective enhanced images corresponding to the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device. The second step of picture enhancement also includes performing image frequency domain enhancement operations on the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device.

5. The computer network management system according to claim 4, characterized in that: The respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device are respectively enhanced to obtain respective enhanced images corresponding to the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device, and also include: the third step of picture enhancement is to perform cubic polynomial interpolation operations on the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device.

6. The computer network management system according to claim 5, characterized in that: The respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device are respectively enhanced to obtain respective enhanced images corresponding to the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device, and the fourth step of picture enhancement comprises performing high-pass filtering sharpening operations on the respective output image signals of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device.

7. The computer network management system according to any one of claims 3 to 6, characterized in that: The system further comprises: The temperature measuring mechanism is respectively connected to the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device, and is used to perform real-time measurement of the respective on-site temperatures of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device. The temperature measuring mechanism includes three different temperature measurement units.

8. The computer network management system according to claim 7, characterized in that: The temperature measuring mechanism is respectively connected to the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device, and is used to perform real-time measurement of the respective on-site temperatures of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device. The temperature measuring mechanism includes three different temperature measurement units, which are three different contact temperature measurement units.

9. The computer network management system according to claim 7, characterized in that: The temperature measuring mechanism is respectively connected to the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device, and is used to perform real-time measurement of the respective on-site temperatures of the signal enhancement device, the gamma correction device, the edge sharpening device and the pattern resolution device. The temperature measuring mechanism includes three different temperature measurement units, including: the three different temperature measurement units are three different non-contact temperature measurement units.

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