阅读说明：本技术 一种基于网络视听新媒体的流量监测系统 (Flow monitoring system based on new network audio-visual media ) 是由 刘畅 李赢男 于 2021-09-15 设计创作，主要内容包括：本发明涉及流量监测技术领域,尤其涉及一种基于网络视听新媒体的流量监测系统,包括主监测单元、辅检测单元以及镜像单元,主监测单元与辅检测单元之间通过镜像单元连接,主监测单元与联网装置连接,通过主监测单元实时监测网络访问流量,镜像单元将主监测单元实时监测中的流量复制镜像数据包并将其输送到辅检测单元,辅检测单元对镜像数据包中的流量进行异常检测,本发明解决了网络视听新媒体中产生的异常流量得不到有效控制会影响正常业务进行的问题,本流量监测系统的提出,能够对互联网流量进行实时监测,并对异常流量进行准确检测,避免异常流量影响正常的业务开展。(The invention relates to the technical field of flow monitoring, in particular to a flow monitoring system based on a new network audio-visual medium, which comprises a main monitoring unit, an auxiliary detection unit and a mirror image unit, wherein the main monitoring unit is connected with the auxiliary detection unit through the mirror image unit, the main monitoring unit is connected with a networking device, the network access flow is monitored in real time through the main monitoring unit, the mirror image unit copies the flow in the real-time monitoring of the main monitoring unit into the mirror image data packet and transmits the mirror image data packet to the auxiliary detection unit, and the auxiliary detection unit performs abnormal detection on the flow in the mirror image data packet.)

1. A traffic monitoring system based on new network audio-visual media, comprising:

the main monitoring unit, the auxiliary detecting unit and the mirror image unit are connected with each other through the mirror image unit,

the main monitoring unit is connected with the networking device, network access flow is monitored in real time through the main monitoring unit, the mirror image unit copies a mirror image data packet from the flow monitored in real time by the main monitoring unit and transmits the mirror image data packet to the auxiliary detection unit, and the auxiliary detection unit performs abnormal detection on the flow in the mirror image data packet;

the auxiliary detection unit consists of a flow characteristic marking module, a flow characteristic recording module, a flow characteristic filtering module, a flow characteristic measuring and calculating module and a flow database:

marking the flow characteristics detected in real time by using a flow characteristic marking module;

the flow characteristic recording module is used for transmitting the flow characteristics monitored in real time to a flow database;

screening abnormal flow detected in real time by using a flow characteristic filtering module;

and comparing and measuring the screened abnormal flow with the flow data in the flow database by using a flow characteristic measuring and calculating module, and calculating the abnormal amplitude of the data.

2. The system for monitoring the flow of the new media based on the network audio-visual is characterized by comprising the following steps:

s1, respectively measuring a plurality of sets of flow data at the flow use peak period and the flow use low peak period, and storing the flow data as original data into a flow database;

s2, marking the real-time flow characteristics copied from the mirror image data packet by using a flow characteristic marking module, and sending the flow characteristic marking to a flow characteristic filtering module;

s3, carrying out primary screening on the marked real-time flow characteristics by using a flow characteristic filtering module, and rejecting the flow with the characteristics meeting the rated interval range; sending the residual characteristic flow to a flow characteristic measuring and calculating module;

s4, performing secondary powder screening on the feature flow subjected to primary screening by using the flow feature measuring and calculating module, comparing the feature flow with flow data in a flow database, comparing amplitude difference between a feature value of the feature flow and a flow feature value in the flow database, and rejecting the flow with the amplitude within a rated interval range;

and S5, sending the flow result obtained after measurement and calculation to a flow database and a police device, recording abnormal flow by using the flow database, and performing real-time monitoring and flow control by using the abnormal flow of the police device.

3. The system for monitoring traffic based on new network audiovisual media as claimed in claim 1, wherein said signature is a traffic peak signature.

4. A system for monitoring traffic based on new media over internet audio visual (av) as claimed in claim 1 wherein said signature is a valley signature.

5. The system of claim 1, wherein the main monitoring unit and the auxiliary monitoring unit are respectively connected to a display screen, and the flow data is displayed through the display screen.

6. The system of claim 5, wherein a flow control unit is disposed in the main monitoring unit, and the flow control unit is used to limit abnormal flow.

7. The system of claim 1, wherein a screen recording unit is further disposed in the flow monitoring system, and the screen recording unit is used to record the flow monitoring and flow detection processes.

Technical Field

The invention relates to the technical field of flow monitoring, in particular to a flow monitoring system based on a new network audio-visual media.

Background

With the rapid development and wide application of digital technology and mobile internet technology, the new network audio-visual media are popular with people in a way of combining audio and video, and have huge influence. However, the new media for network audio-visual has many problems while greatly enriching the audience life. In huge traffic generated every day, huge abnormal traffic is hidden, the abnormal traffic is usually generated by some organization or individual disguised user behavior, the abnormal traffic can disturb normal business, and therefore, a traffic monitoring system based on new network audio-visual media is provided.

Disclosure of Invention

The invention aims to solve the defects in the prior art and provides a flow monitoring system based on a new network audio-visual medium.

In order to achieve the purpose, the invention adopts the following technical scheme:

a flow monitoring system based on new network audio-visual media comprises a main monitoring unit, an auxiliary detection unit and a mirror image unit, wherein the main monitoring unit is connected with the auxiliary detection unit through the mirror image unit,

the main monitoring unit is connected with the networking device, network access flow is monitored in real time through the main monitoring unit, the mirror image unit copies a mirror image data packet from the flow monitored in real time by the main monitoring unit and transmits the mirror image data packet to the auxiliary detection unit, and the auxiliary detection unit performs abnormal detection on the flow in the mirror image data packet;

the auxiliary detection unit consists of a flow characteristic marking module, a flow characteristic recording module, a flow characteristic filtering module, a flow characteristic measuring and calculating module and a flow database:

marking the flow characteristics detected in real time by using a flow characteristic marking module;

the flow characteristic recording module is used for transmitting the flow characteristics monitored in real time to a flow database;

screening abnormal flow detected in real time by using a flow characteristic filtering module;

and comparing and measuring the screened abnormal flow with the flow data in the flow database by using a flow characteristic measuring and calculating module, and calculating the abnormal amplitude of the data.

A flow monitoring system based on new network audio-visual media comprises the following steps:

s1, respectively measuring a plurality of sets of flow data at the flow use peak period and the flow use low peak period, and storing the flow data as original data into a flow database;

s2, marking the real-time flow characteristics copied from the mirror image data packet by using a flow characteristic marking module, and sending the flow characteristic marking to a flow characteristic filtering module;

s3, carrying out primary screening on the marked real-time flow characteristics by using a flow characteristic filtering module, and rejecting the flow with the characteristics meeting the rated interval range; sending the residual characteristic flow to a flow characteristic measuring and calculating module;

s4, performing secondary powder screening on the feature flow subjected to primary screening by using the flow feature measuring and calculating module, comparing the feature flow with flow data in a flow database, comparing amplitude difference between a feature value of the feature flow and a flow feature value in the flow database, and rejecting the flow with the amplitude within a rated interval range;

and S5, sending the flow result obtained after measurement and calculation to a flow database and a police device, recording abnormal flow by using the flow database, and performing real-time monitoring and flow control by using the abnormal flow of the police device.

Preferably, the characteristic mark adopts a flow peak mark method.

Preferably, the characteristic mark adopts a flow valley marking method.

Preferably, the main monitoring unit and the auxiliary detecting unit are respectively connected with a display screen, and flow data are displayed through the display screen.

Preferably, a flow control unit is arranged in the main monitoring unit, and the flow control unit is used for limiting the abnormal flow.

Preferably, a screen recording unit is further arranged in the flow monitoring system, and the screen recording unit is used for recording the flow monitoring and flow detection processes.

The invention has the beneficial effects that: the flow monitoring system solves the problem that the normal service development is influenced because the abnormal flow generated in the network audio-visual new media cannot be effectively controlled.

Drawings

Fig. 1 is a block diagram of a traffic monitoring system based on a new network audio-visual media according to the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments.

In this embodiment 1, referring to fig. 1, a traffic monitoring system based on new network audiovisual media includes a main monitoring unit, an auxiliary detecting unit, and a mirror image unit, where the main monitoring unit and the auxiliary detecting unit are connected through the mirror image unit,

the main monitoring unit is connected with the networking device, network access flow is monitored in real time through the main monitoring unit, the mirror image unit copies a mirror image data packet from the flow monitored in real time by the main monitoring unit and transmits the mirror image data packet to the auxiliary detection unit, and the auxiliary detection unit performs abnormal detection on the flow in the mirror image data packet;

the auxiliary detection unit consists of a flow characteristic marking module, a flow characteristic recording module, a flow characteristic filtering module, a flow characteristic measuring and calculating module and a flow database:

marking the flow characteristics detected in real time by using a flow characteristic marking module;

the flow characteristic recording module is used for transmitting the flow characteristics monitored in real time to a flow database;

screening abnormal flow detected in real time by using a flow characteristic filtering module;

and comparing and measuring the screened abnormal flow with the flow data in the flow database by using a flow characteristic measuring and calculating module, and calculating the abnormal amplitude of the data.

A flow monitoring system based on new network audio-visual media comprises the following steps:

s1, respectively measuring a plurality of sets of flow data at the flow use peak period and the flow use low peak period, and storing the flow data as original data into a flow database;

s2, marking the real-time flow characteristics copied from the mirror image data packet by using a flow characteristic marking module, and sending the flow characteristic marking to a flow characteristic filtering module;

s3, carrying out primary screening on the marked real-time flow characteristics by using a flow characteristic filtering module, and rejecting the flow with the characteristics meeting the rated interval range; sending the residual characteristic flow to a flow characteristic measuring and calculating module;

s4, performing secondary powder screening on the feature flow subjected to primary screening by using the flow feature measuring and calculating module, comparing the feature flow with flow data in a flow database, comparing amplitude difference between a feature value of the feature flow and a flow feature value in the flow database, and rejecting the flow with the amplitude within a rated interval range;

and S5, sending the flow result obtained after measurement and calculation to a flow database and a police device, recording abnormal flow by using the flow database, and performing real-time monitoring and flow control by using the abnormal flow of the police device.

The main monitoring unit and the auxiliary detecting unit are respectively connected with the display screen, and flow data are displayed through the display screen.

And a flow control unit is arranged in the main monitoring unit and is used for limiting the abnormal flow.

And a screen recording unit is also arranged in the flow monitoring system, and is used for recording the flow monitoring and flow detection processes.

In this embodiment 2, the feature mark is a flow peak mark method. Recording the flow peak value interval in the same time period, in the flow peak value and peak flat value interval which accord with the principle, the first flow characteristic screening can screen out most abnormal flows which accord with the requirement, the second flow characteristic screening can select the flow peak value of which the abnormal flow peak value exceeds the principle, and the abnormal flows are tracked and positioned, and the flow limiting operation can be carried out.

In this embodiment 3, the flow rate bottom value marking method is used as the feature marking. Similarly, the range of the peak-to-valley value and the peak-to-average value is set firstly, then the abnormal flow can be screened out by secondary screening, and finally the abnormal flow can be tracked and limited.

Finally, the requirements that the abnormal flow detected in real time is monitored, the flow in unit time is ensured to be in a reasonable range by means of current limiting and the like, and the stable operation of the flow under normal services is ensured by reducing the influence of the abnormal flow.

The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.