WO2014026519A1

WO2014026519A1 - A method and system for analyzing the user network behavior through the home gateway

Info

Publication number: WO2014026519A1
Application number: PCT/CN2013/079169
Authority: WO
Inventors: 方文杰; 陈辉
Original assignee: 中兴通讯股份有限公司
Priority date: 2012-08-13
Filing date: 2013-07-10
Publication date: 2014-02-20
Also published as: CN103595692A; CN103595692B

Abstract

A method for analyzing the user network behavior through the home gateway is disclosed, the method comprising: filtering the sending and receiving packet of the user-side and the network side of the home gateway, and acquiring the packet which is required; extracting the information from the filtered packet, getting the information which is needed and saving it; periodically reading the information by the statistical and analysis server, analyzing the read information and doing the statistic, and then obtaining the information on user behavior. A system for analyzing the user network behavior through the home gateway is also disclosed in the present invention, the use of the method and system of the present invention can implement the information collection of the user behavior by the home gateway, so website operators do not have to set up a separate equipment for collecting data information, and it can save a lot of costs.

Description

Method and system for analyzing user network behavior through home gateway

The present invention relates to network behavior analysis techniques in the Internet, and in particular to a method and system for analyzing user network behavior through a home gateway. Background technique

In recent years, with the development of network technology, people have become more and more visited by websites, and applications such as instant chat tools and games have become more and more frequent. By analyzing the information of users visiting the website, we can discover the rules of the user's access to the website, and combine these rules with the network marketing strategy to discover possible problems in the current network marketing activities, and to further correct or re-establish the network. The marketing strategy provides the basis for meeting the user needs of the website, increasing the trust of the website and increasing the revenue of the website operator. For example: By tracking the behavior of different game users and comparing between different types of game users, you can optimize the user experience of the game, increase the user's interest, launch packages and other activities for different game user groups, and increase the application. Program developer's operating income. Of course, by analyzing the behavior of other aspects of the user, it is also possible to increase the revenue of the relevant operator.

How to collect, count, and analyze these large amounts of data information, and discover the rules of the user's Internet access, so as to selectively release various types of information to users, and increase the marketing revenue, and become a concern of many operators and websites. problem.

In terms of user behavior, traditional behavior analysis solutions mostly use web servers or game servers as collection points to analyze the user behavior of accessing the website server or the game server. However, such a solution requires a large amount of money to set up a separate device at the server, and requires a separate statistical analysis server, which also consumes a large amount of cost in operation and maintenance. Summary of the invention

In view of this, the main purpose of the embodiments of the present invention is to provide a method and system for analyzing user network behavior through a home gateway, and using the home gateway to collect required user behavior information, so that each website operator does not need to set up a separate device. Save a lot of cost.

In order to achieve the above object, the technical solution of the present invention is achieved as follows:

The embodiment of the invention provides a method for analyzing user network behavior through a home gateway, and the method includes:

Filtering the packets sent and received by the user side and the network side of the home gateway to obtain the required packets; extracting the information from the filtered packets to obtain the required information and saving the information;

The statistical analysis server periodically reads the information, analyzes and counts the read information, and obtains user behavior information.

In the above solution, before the statistical analysis server periodically reads the information, the method further includes:

The saved information is encrypted and compressed, and periodically uploaded to the information collection server. Correspondingly, the statistical analysis server periodically reads the information as: The statistical analysis server periodically reads information from the information collection server. .

In the foregoing solution, the information obtained by filtering the information is extracted to obtain the required information, and the method further includes: recording the MAC address of the network device to which the message belongs, and recording the time when the message is generated.

In the foregoing solution, before the filtering is performed on the sending and receiving, the method further includes: setting, by the ITMS server, a collection policy of the user behavior and a collection of the user behavior.

In the above solution, the setting policy for setting user behavior includes: setting whether to open the user behavior collection function; setting a period for uploading the user behavior analysis collection file; and setting a user name, a password, and a compression password for uploading the file server.

In the above solution, the setting of the set user behavior includes: setting a message filter Filtered site name and app name, record keyword name entered by search engine, and access time.

The embodiment of the invention further provides a system for analyzing user network behavior through a home gateway, the system comprising: a home gateway and a statistical analysis server; wherein:

The home gateway is configured to filter the packets sent and received by the user side and the network side, and extract information from the filtered packets to obtain the required information and save the information.

The statistical analysis server is configured to periodically read information, analyze and collect the read information, and obtain user behavior information.

In the above solution, the home gateway includes a message filter, a feature analysis library, and a temporary storage area; wherein:

The packet filter is configured to filter the packets sent and received by the user side and the network side of the home gateway to obtain the required packets.

The feature analysis library is configured to extract information from the filtered message to obtain required information;

The temporary storage area is configured to store the extracted required information.

In the above solution, the system further includes an information gathering server configured to periodically read the stored information;

Correspondingly, the home gateway further includes an information uploading module configured to encrypt and compress the information stored in the temporary storage area, and periodically upload the information to the information collection server.

In the above solution, the feature analysis library is further configured to record a network device to which the message belongs.

MAC address, and record the time when the message was generated.

In the above solution, the system includes an ITMS server configured to set a collection of user behavior and a collection of user behavior.

The method and system for analyzing the behavior of the user network through the home gateway provided by the embodiment of the present invention, respectively, setting a packet filter on the user side and the network side of the home gateway, and performing the packet transmission and reception Filtering; sending the filtered message to the feature analysis library to obtain the required information and saving; the statistical analysis server periodically reads the information, and analyzes and counts the read information to obtain user behavior information. It can be seen that the embodiment of the present invention sets a message filter in the home gateway, so that the user behavior information can be collected through the home gateway, so that the website operator does not need to set up a separate device to collect data information, thereby saving a lot of cost; The invention uses a relatively independent feature analysis library. When it is required to increase the user behavior content of the analysis, the feature analysis library can be updated at any time by upgrading the feature analysis library, which also reduces the risk of operation and maintenance for the website operator. And cost. DRAWINGS

1 is a schematic flowchart of a method for analyzing a user network behavior by using a home gateway according to an embodiment of the present invention;

2 is a schematic diagram of a system composition framework for analyzing user network behavior through a home gateway according to an embodiment of the present invention;

FIG. 3 is a schematic flowchart of a method for analyzing user network behavior through a home gateway according to an embodiment of the present invention. detailed description

The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

FIG. 1 is a schematic flowchart of a method for analyzing user behavior by using a home gateway according to an embodiment of the present invention. As shown in FIG. 1, the method includes the following steps:

Step 101: Filtering the packets sent and received by the user side and the network side of the home gateway. Before filtering the received and sent packets, the method may further include:: an integrated terminal management system (ITMS) The server remotely sets the collection of user behaviors and user behaviors;

The set policy for setting user behavior includes: setting whether to open user behavior釆 Set function; set the period for uploading user behavior analysis files; and set the user name, password and compression password of the upload file server;

The set content of the set user behavior includes: setting a website name and an application name to be filtered by the message filter, recording a keyword name and an access time input by the search engine, and the like.

Here, a message filter is set on the user side and the network side of the home gateway to filter the received and received messages, and at the same time, part of the message is omitted due to network address translation (NAT); The message filtering can perform fuzzy matching by using a regular expression, and filtering the information on the matching and the generated time.

Step 102: Perform information extraction on the filtered packet, and obtain the required information and save the information. Here, the information obtained by the filtering may be extracted by using a feature analysis library set in the home gateway; Save in temporary storage.

The feature analysis library includes a plurality of functional units for analyzing and extracting different types of message data as required information for extraction, and an example is as follows:

Example 1 : If the message is related to the user's online behavior, extract the data information such as the website information, the network path, and the port number used by the user;

Example 2: If the message is an application used by the user, information such as the user login exit process, the usage time, and the port number used are extracted, and different applications are different in information, such as an application for watching the video online. Can extract which videos such as videos have been viewed;

Example 3: If the message is related to the user logging in to the search engine and inputting the keyword's online behavior, the regular expression can be used to fuzzyly match the input content, and extract the input content and time, and the like.

Since the user's network behavior is many, here is no longer - enumerated. When you need to increase the network behavior of the analysis, you can upgrade the feature analysis library separately, which can reduce the cost of operation and maintenance.

Here, the feature analysis library records the time when the message is generated when extracting the required message information, and records the media access control of the network device to which the message belongs (Media Access Control, MAC) address to distinguish between different users.

Step 103: The statistical analysis server periodically reads the information, analyzes and statistics the read information, and obtains user behavior information.

Here, before the statistical analysis server periodically reads the information, the method further includes: encrypting and compressing the information stored in the temporary storage area, and periodically uploading the information to the information collection server, and the statistical analysis server periodically extracts the information. The information is read in the set server; wherein the temporary storage area deletes the already uploaded information.

To implement the above method, the embodiment of the present invention further provides a system for analyzing user network behavior through a home gateway. As shown in FIG. 2, the home gateway 21 and the statistical analysis server 22 are included;

The home gateway 21 is configured to filter the packets sent and received by the user side and the network side, and extract the information of the filtered packets to obtain the required information and save the information.

The statistical analysis server 22 is configured to periodically read information, analyze and collect the read information, and obtain user behavior information.

Correspondingly, the system further comprises: an information collection server 23 and an ITMS server 24; wherein:

The information collection server 23 is configured to periodically read the stored information;

The ITMS server 24 is configured to set a collection of user behavior and a collection of user behavior.

Here, the ITMS server 24 includes: a configuration processing module, which can remotely set a collection policy of user behavior in the home gateway and a collection of user behavior;

The setting policy for setting the user behavior includes: setting whether to open the user behavior collection function; setting a period for uploading the user behavior analysis collection file; setting a user name, a password, and a compression password of the upload file server;

The set content of the setting user behavior includes: setting a packet filter to be filtered Site name, application name, record keyword name entered by the search engine, access time, and more.

Further, the home gateway 21 includes: a message filter 211, a feature analysis library 212, a temporary storage area 213, and an information uploading module 214; wherein:

The packet filter 211 is configured to filter the packets sent and received by the user side and the network side of the home gateway to obtain the required packets.

The feature analysis library 212 is configured to perform information extraction on the filtered message to obtain required information.

Here, the feature analysis library 212 extracts the required information according to the type of the message, and also records the MAC address of the network device to which the message belongs, and records the time when the message is generated.

The temporary storage area 213 is configured to store the extracted required information.

The information uploading module 214 is configured to encrypt and compress the information stored in the temporary storage area 213, and periodically upload the information to the information collecting server 23.

Specifically, the ITMS server 24 pre-sets the user behavior content that needs to be collected, such as the website name, the search engine name, and the application name filtered by the home gateway 21; and also sets the period for uploading the user behavior analysis file and the user name of the upload file server. , passwords and compressed passwords, etc., and finally set to open the user behavior collection function;

The packet filter 211 of the home gateway 21 and the network side filters the received and sent packets, sends the filtered packets to the feature analysis library 212 for information extraction, obtains the required information, and saves the obtained information. To the temporary storage area 213; the information uploading module 214 compresses and encrypts the information, and periodically uploads it to the information collection server 23, and the statistical analysis server 22 periodically reads the information from the information collection server 23, and analyzes and counts the information. , get user behavior information.

FIG. 3 is a schematic flowchart of a method for analyzing user network behavior through a home gateway according to an embodiment of the present invention. As shown in FIG. 3, the method includes the following steps: Step 301: The configuration processing module of the ITMS server sets a collection of user behavior and a collection of user behaviors;

Here, the set policy for setting user behavior includes: setting whether to open the user behavior collection function; setting a period for uploading the user behavior analysis collection file; and setting a user name, a password, and a compression password for uploading the file server;

For the setting, whether the user behavior collection function is enabled, only after the function is turned on, the home gateway starts to filter, analyze, and collect the sent and received packets;

For the period in which the setting uploads the user behavior analysis file, the home gateway uploads the collected user behavior information to the information collection server according to the period;

For the user name, password and compressed password of the upload file server, the home gateway compresses the encrypted user behavior information according to the compressed password, and uploads the information to the information collection server according to the user name and password of the information collection server.

Here, the set content of setting the user behavior includes: setting a website name and an application name to be filtered by the message filter, recording a keyword name and an access time input by the search engine, and the like.

Steps 302 to 304: The packet filter in the home gateway filters the received and sent packets according to the set contents, sends the filtered packets to the feature analysis database for processing, and saves the processed information to the Temporary storage area; the website visited by the user, the keyword entered in the search engine, and the application used are fuzzy matching, and the matching information and usage time are extracted;

The feature analysis library records the time when the message is generated, and records the MAC address of the network device to which the message belongs to distinguish different users.

Steps 305~306: The home gateway compresses and encrypts the information to be uploaded, and uploads the information to the information collection server;

Here, the home gateway compresses and encrypts the user behavior information to be uploaded according to the compressed password, and The user name and password of the information collection server are uploaded to the information collection server; wherein, the home gateway uploads the information to the information collection server through the CPE WAN management protocol (TR069) management channel; meanwhile, the temporary storage area deletes the uploaded information. .

Step 307: The statistical analysis server periodically extracts information from the information collection server, analyzes and counts the information, and obtains user behavior information.

The above is only the preferred embodiment of the present invention and is not intended to limit the scope of the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and scope of the invention are intended to be included within the scope of the invention. Industrial applicability

In the embodiment of the present invention, the packet sent and received by the user side and the network side of the home gateway is filtered, and the information obtained by the filtering is extracted, and the required information is obtained and saved. The statistical analysis server periodically reads the information. And analyzing and counting the read information to obtain user behavior information. Therefore, the user behavior information can be collected through the home gateway, and the website operator does not need to set up a separate device to collect data information, thereby saving a lot of cost; at the same time, the feature analysis library can be updated at any time, thereby reducing the risk and cost of operation and maintenance.

Claims

claims

1. A method for analyzing user network behavior through a home gateway. The method includes: filtering messages sent and received by the user side and network side of the home gateway to obtain the required messages; extracting information from the filtered messages, Obtain the required information and save it;

The statistical analysis server periodically reads the information and performs analysis and statistics on the read information to obtain user behavior information.

2. The method according to claim 1, wherein before the statistical analysis server periodically reads the information, the method further includes:

The saved information is encrypted and compressed, and periodically uploaded to the information collection server; accordingly, the statistical analysis server periodically reads the information as: The statistical analysis server periodically collects the information from The server reads the information.

3. The method according to claim 1, wherein while performing information extraction on the filtered messages to obtain required information, the method also includes:

Record the MAC address of the network device to which the message belongs, and record the time when the message was generated.

4. The method according to claim 1, wherein before filtering the sent and received messages, the method further includes:

Remotely set the collection policy of user behavior and the collection content of user behavior through the ITMS server.

5. The method according to claim 4, wherein said setting the collection strategy of user behavior includes: setting whether to turn on the user behavior collection function, setting the period for uploading the user behavior analysis collection file, and setting the upload file Server username, password, and compression password.

6. The method according to claim 4, wherein said setting the collection content of user behavior includes: setting the website name and application name to be filtered by the message filter, and recording the keyword name input by the search engine and interview time.

7. A system for analyzing user network behavior through a home gateway. The system includes: a home gateway and a statistical analysis server; among which:

The home gateway is configured to filter the messages sent and received by its own user side and network side, extract information from the filtered messages, obtain the required information and save it;

The statistical analysis server is configured to periodically read the information, and perform analysis and statistics on the read information to obtain user behavior information.

8. The system according to claim 7, wherein the home gateway includes a message filter, a feature analysis library and a temporary storage area; wherein:

The message filter is configured to filter messages sent and received by the user side and network side of the home gateway to obtain required messages;

The feature analysis library is configured to extract information from filtered messages to obtain required information;

The temporary storage area is configured to save the extracted required information.

9. The system according to claim 7, wherein the system further includes: an information collection server configured to periodically read the stored information;

Correspondingly, the home gateway also includes: an information upload module configured to encrypt and compress the information stored in the temporary storage area, and periodically upload it to the information collection server.

10. The system according to claim 8, wherein the feature analysis library is further configured to record the MAC address of the network device to which the message belongs, and record the time when the message is generated.

11. The system according to claim 7, wherein the system further includes: an ITMS server configured to set the collection policy of user behavior and the collection content of user behavior.