WO2008088091A1

WO2008088091A1 - Data collection device and data collection method

Info

Publication number: WO2008088091A1
Application number: PCT/JP2008/051137
Authority: WO
Inventors: Yoji Otokozawa; Makoto Hakamada; Ryotaro Hashimoto
Original assignee: Interarrows Inc.
Priority date: 2007-01-19
Filing date: 2008-01-21
Publication date: 2008-07-24
Also published as: JP2010092081A

Abstract

By analyzing a packet transmitted from a user device (2) to the Internet (8), it is possible to identify a device type and extract predetermined data required for analysis from the packet by using an extraction method based on the identified device type. That is, the packet analysis enables identification of the type of the user device (2) and extraction of predetermined data required for analysis from the packet by the extraction method in accordance with the identified type. Regardless of the type of the user device (2), it is possible to extract from the packet, predetermined data required for analyzing the online game use tendency and accesses to various sites.

Description

Data collection apparatus and data collection method

Technical field

The present invention relates to a data collection device and a data collection method, and more particularly, to a user usage trend of an online game and a home game that are performed on the Internet.

Applicable to systems that investigate the status of Internet access from mobile devices.

The present invention relates to an efficient data collection device and data collection method.

Background art '"

Currently, various contents such as music data, video data, and programs can be downloaded from a communication terminal (for example, a personal computer) from a site (server) on the Internet. In addition, the data is not limited to download only, but is uploaded to the site from a communication terminal, as in a bulletin board system (Bulletin Board System), and the data uploaded to the site is sent to another communication. The form in which the terminal is downloaded (for explanation, it is called “bidirectional form”) is also widespread.

In the field of computer games, online games have emerged as interactive forms where multiple people can participate simultaneously via the Internet. Nowadays, domestic and overseas manufacturers are shifting from traditional stand-alone games to online games, such as enhancing game-specific machines or general-purpose machines (for example, mobile phones and PDAs) with online game execution functions. The business is gradually shifting. In addition, even for the conventional stand-alone type, game machines having a function capable of connecting to various sites represented by e-commerce sites and content distribution sites are provided. As above In the computer game industry, the fusion of the Internet and computer games has created new markets.

Furthermore, the fusion of the Internet and computer games is expected to create a huge new market in the advertising industry. This is because it is expected to be able to provide optimal advertisements to users running the game.

In-game advertisements (In-game advertisements) are generally used as advertisements on game machines equipped with an online game execution function. In order to increase the advertising effectiveness of in-game advertisements, a predetermined data (data for grasping online game usage trends by users) is extracted from the packet transmitted from the dedicated game machine, etc. It is important to understand trends. This is because it will be possible to provide optimal advertisements according to usage trends.

On the other hand, an advertisement on a game machine having a function capable of connecting to various sites is generally an advertisement on a page where various sites are continued. In order to increase the advertising effectiveness of the advertisement on the page, the predetermined data (data for grasping the access status to various sites) is extracted from the bucket transmitted from the game machine, and the access It is important to understand the situation. This is because it will be possible to provide optimal advertisements according to access conditions. Disclosure of the invention

However, data sent and received by game machines with online game execution functions provided by manufacturers, or game machines with functions that can be connected to various sites, are unique to each model (for example, out Storage location of predetermined data within the pound bucket, In many cases, the code system has different specifications. In other words, when analyzing usage trends and access conditions for multiple types of models provided by manufacturers, a data collection mechanism for each model to extract predetermined data (for each model) Data collection functions or equipment must be prepared.

The present invention has been made in view of such circumstances. In other words, the purpose is to be able to analyze the usage trend of online games and access status to various sites using various user devices provided by major companies.

In order to solve the problem, the present invention provides a user device (for example, a game machine equipped with an online game execution function, etc., or a game equipped with a function capable of connecting to various sites. Machine) to identify the model by analyzing the packet sent to the printer, and using the extraction method according to the specified model, the predetermined data required for analysis from the packet Is extracted.

According to the present invention configured as described above, the model of the user device is specified by the packet analysis, and predetermined data necessary for the analysis is extracted from the packet by the extraction method according to the specified model. As a result, it becomes possible to extract predetermined data required for analysis from the packet, regardless of the model of the user device. As a result, it is possible to analyze each usage trend and access status of multiple types of models provided by manufacturers by simply installing the device according to the present invention without preparing a data collection mechanism for each model. You will be able to Brief Description of Drawings FIG. 1 is a diagram showing an example of the overall configuration of a home game machine usage survey system using the data collection device according to the present embodiment.

FIG. 2 is a block diagram showing a functional configuration example of the data collection device according to the present embodiment.

FIG. 3 is a diagram illustrating an example of information stored in the model specifying information storage unit and the data extraction information storage unit.

Fig. 4 is a flowchart showing an example of the operation of the data collection device shown in Fig. 1.

FIG. 5 is a flowchart showing an example of the operation of the data collection device shown in FIG.

FIG. 6 is a diagram showing another example of information stored in the model specifying information storage unit. BEST MODE FOR CARRYING OUT THE INVENTION

Hereinafter, an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a diagram showing an example of the overall configuration of a home game machine usage survey system using a data collection device according to this embodiment. In the following, for convenience of explanation, “packet J refers to an IP packet (IP datagram).

In FIG. 1, 1 is a data collection device of the present embodiment, 2 is a game device as an example, 3 is a router, 4 and 5 are game content servers that are examples of specific servers, and 6 is a specific server. An example is a web server, 7 is a data analysis server, and 8 is the Internet.

The data collection device 1 monitors the bucket transmitted from the user device 2 to the internet 8 and collects the predetermined data from the bucket 含む containing the predetermined data. Predetermined data refers to data for analyzing usage trends of user equipment 2 and data for analyzing access status by user equipment 2. The user ID, the time stamp indicating the packet transmission date and time, the URL of the access destination site, and information about the application running on the user device 2 (for example, game title) Etc. Details of the functions of the data collection device 1 will be described in FIG. Game console 2 has an online game execution function, Yopi, and a function that can be connected to various sites.

X.

User A's home has a place 3 (hereinafter referred to as PS 3 (registered trademark)) manufactured by Sony Computer Entertainment Inc., which is an example of the router 3, the data collector 1, and the game console 2. ) Is installed. Data collection device 1 is connected between PS 3 and router 3 (the same applies to data collection device 1 installed at User B's home, etc.). Note that user C's home, as well as user A's home, is equipped with a router 3, data collection device 1 and PS3.

In User B's house, Nintendo's Nintendo DSZDSLite (registered trademark) (hereinafter referred to as NDS (registered trademark)), which is another example of router 3, data collector 1, and game console 2, It is installed. When the user device 2 is a portable terminal such as NDS, the user device 2 has a wireless communication function. The data collection device 1 connected between the user device 2 having the wireless communication function as described above and the router 3 includes a wireless access point unit 1a, and is connected to the user device 2 wirelessly. Is done. Note that user D's home is similar to user B's home, with router 3, data collection device

Assume that 1 and N DS are installed.

The game content server 4 is a server that provides game content for PS 3, and the game content server 5 is a server that provides game content for NDS. Game content servers 4 and 5 provide dedicated game sites for PS 3 and NDS on Internet 8 respectively. Webusanoku 6 also provides websites that can be accessed from e-commerce sites, content delivery sites, and personal computers.

For example, users A and C have access to the PS 3 game, PS 3 game content server 4 (PS 3 game site), and the online game game program for PS 3. Can be loaded. In addition, the users A and C execute the game program on the respective PS 3 and access the game content server 4 for the PS 3 to obtain the game for the PS 3. You can participate in the Jonline game at the same time via Intensano-4. In addition, the user AC can use the child commerce site and various contents by accessing the web server 6 at each PS 3.

In this way, users B and D have access to the NDS game content managers ~ Noku 5 (game sites for NDS) and the NDS online game games. The program can be loaded. In addition, the users B and D execute the game program in each NDS and access the NDS game content server 5 through the NDS game content server 5. The same orange line

-Can participate in the program at times. Further, the user B D can use the electronic commerce transaction and various contents by accessing the web server 6 with each N DS.

The data analysis server 7 collects data sent from each user's home.

Execute the prescribed analysis process. For example, understanding of the most popular models, downsizing and number of online game programs, understanding of popular game titles, game usage time, overlapping usage status, reuse rate, usage frequency distribution

, Analyze usage time distribution, etc. Data analysis server 7 also performs processing for analyzing the status of access to the website provided by the web server 6. Note that the above analysis process is merely an example. Other analyzes can be performed.

FIG. 2 is a block diagram showing a functional configuration example of the data collection device 1 according to the present embodiment. FIG. 3 is a diagram illustrating an example of information stored in the model specifying information storage unit 100 and the data extraction information storage unit 102. Each function block shown in Fig. 2 is configured by, for example, the cooperation of the software inside the data collector 1 and the hardware. As shown in FIG. 2, the data collection device 1 includes a model identification information storage unit 100, a data extraction information storage unit 102, a model information storage unit 104, a packet storage unit 106, data Receiving unit 1 1 0, model identification unit 1 2 0, packet inspection unit 1 3 0, packet replication unit 1 4 0, data extraction unit 1 5 0, data integration unit 1 6 0 and data transmission unit 1 7 0 is configured.

The model specifying information storage unit 100 0 stores information that the model specifying unit 1 2 0 refers to when specifying the model of the user device 2. Specifically, as shown in FIG. 3 (a), the model specifying information storage unit 100 is associated with information identifying the model of the user device 2 (hereinafter referred to as “model ID”) and order information. Is memorized. The order information refers to a plurality of packets transmitted from the user device 2 in order to connect to a specific server (game content servers 4 and 5, web server 6) (a sequence transmitted in a phase for connecting to a specific server). In this packet, it is information indicating the order in which packets for specific server name resolution (specifically, DNS request packets transmitted from the user apparatus 2) are transmitted.

For example, in the example shown in FIG. 3 (a), the model specifying information storage unit 100 is associated with the model ID “K 0 1” for identifying PS 3, and a specific server (game content server 4, web server). 6) User to connect to The order information indicating that the DNS request bucket is transmitted Xth in the multiple buckets transmitted from device 2 is stored. Note that the order in which DNS request packets are sent differs depending on the model of the user device 2, as shown in FIG. 3 (a). The specification of the model of the user device 2 by the model specifying unit 120 will be described later.

The data extraction information storage unit 102 stores predetermined data (data for analyzing online game usage trends and access status) from the bucket transmitted from the user device 2 by the data extraction unit 150. Information to be referred to when extracting the data. Specifically, as shown in FIG. 3B, the data extraction information storage unit 102 stores predetermined data in the packet transmitted from the user device 2 in association with the model ID. Stores storage location information indicating the storage location.

For example, in the example shown in FIG. 3B, the data extraction information storage unit 10 2 is a data item that is predetermined data in association with the model ID “K 0 1” that identifies PS 3. 1 stores the storage position information indicating that it is stored at the position corresponding to Q 1 part from the first pin in the bucket. Note that the storage position of the predetermined data in the bucket transmitted from the user device 2 differs depending on the model of the user device 2 as shown in FIG. 3 (b). The extraction of predetermined data by the data extraction unit 150 will be described later. The model information storage unit 1 0 4 stores the model ID specified by the model specifying unit 1 2 0. No. Ket storage unit 1 0 6 Packet duplication unit 1 4 0 Stores the duplicated bucket.

The data receiving unit 110 receives data including a packet (IP datagram) transmitted from the user apparatus 2 to the Internet 8. Specifically, when the link between the user device 2 and the data collection device 1 is Ethernet (registered trademark), the data receiving unit 1 1 0 includes the packet in the data unit. Receives an Ethernet frame from user equipment 2. The data receiving unit 110 supplies the packet included in the received data to the model specifying unit 120 and the packet checking unit 130.

The model specifying unit 1 2 0 acquires the bucket from the data receiving unit 1 1 0. The model identifying unit 1 2 0 identifies the model of the user device 2 by analyzing the packet acquired from the data receiving unit 1 1 0. Specifically, the model specification unit 120 specifies the model of the user device 2 based on the order in which the bucket for name resolution of the specific server is transmitted. More specifically, the model specifying unit 1 2 0 first monitors the buckets supplied one after another from the data receiving unit 1 1 0, and is transmitted from the user device 2 to connect to a specific server. In addition, in multiple buckets (a series of packets in the phase for connecting to a specific server), the order in which DNS request packets are sent is analyzed (obtained). Next, the model specifying unit 1 2 0 refers to the order information stored in the model specifying information storage unit 1 0 0 and acquires the model ID corresponding to the analyzed order. The model specifying unit 1 2 0 stores the model ID in the model information storage unit 1 0 4.

The packet inspection unit 1 3 0 obtains a packet from the data reception unit 1 1 0. The packet inspection unit 1 3 0 determines whether or not the packet acquired from the data reception unit 1 1 0 includes predetermined data. Specifically, the bucket inspecting unit 1 30 checks whether or not a predetermined value is stored in a predetermined storage position of the bucket acquired from the data receiving unit 1 1 0 and stores it. In this case, it is determined that the packet includes predetermined data.

For example, the packet inspecting unit 1 3 0 has a destination IP address of a specific server stored in advance in the destination IP address field (or URL field) in the packet acquired from the data receiving unit 1 1 0. It checks whether the address (or URL of a specific server) is stored, and if it is stored, The bucket contains (or may contain) certain data

) In addition, the packet inspection unit 1 30 is stored in advance in the destination IP address field (or URL field) in the packet acquired from the data reception unit 1 10. The specified IP address (or the URL of the specified server) is stored, and a predetermined value (predetermined data in the bucket) is stored in a predetermined field of the data portion. (The value stored in the predetermined field of the data portion when the data is included) is checked, and if both are stored, it is determined that the packet includes the predetermined data. May be.

The packet inspecting unit 1 3 0 sends a determination result indicating whether or not the packet includes predetermined data to the packet duplicating unit 1 4 0 together with the packet acquired from the data receiving unit 1 1 0. Supply.

The bucket duplicating unit 140 obtains a determination result indicating whether or not the bucket includes predetermined data from the bucket inspecting unit 130 with the bucket. When the bucket duplicating unit 14 0 obtains a determination result indicating that the predetermined data is not included with the bucket from the bucket inspecting unit 1 30, the packet duplicating unit 14 7 sends the packet to the data transmitting unit 1 7 Supply to 0. On the other hand, when the packet duplication unit 14 0 obtains a determination result indicating that the packet includes predetermined data from the packet inspection unit 1 30, the packet duplication unit 14 0 transmits the packet to the data transmission unit 1. The packet is supplied to 70, and the packet is stored (duplicated) in the bucket storage unit 106.

The data extraction unit 1 5 0 uses the extraction method according to the model of the user device 2 identified by the model identification unit 1 2 0 and the packet copied by the bucket replication unit 1 4 0 Predetermined data is extracted from More specifically, the data extraction unit 15 50 first acquires the model ID of the user apparatus 2 stored in the model information storage unit 104. Next, the data extraction unit 1 5 0 The storage location information stored in the data extraction information storage unit 102 in association with D is acquired. In addition, the data extraction unit 150 acquires the packet from the packet storage unit 106.

Then, the data extraction unit 15 50 uses a predetermined position in the packet acquired from the packet storage unit 106 from the storage position indicated by the storage position information acquired from the data extraction information storage unit 102. Extract data. Specifically, the data extraction unit 150 extracts, as predetermined data, for example, a user ID, a time stamp indicating the packet transmission date and time, a game title, a URL of the access destination site, and the like. To do. The data extraction unit 15 50 rearranges the model ID acquired from the model information storage unit 104 and each data extracted from the packet in a predetermined order, and does not depend on the model of the user device 2. Convert to common format data (Hereafter, the data converted to a common format including model ID and specified data is

Say J. ) Data extraction unit 1 5 0

Supply to 0.

The data integration unit 160 acquires the common data from the data extraction unit 150. The data integration unit 160 integrates a plurality of common data acquired from the data extraction unit 15 50.For example, the data integration unit 16 ◦ is common from the data extraction unit 15 50 within a predetermined time. Integrate data. Data integration part 1 6 0

The common data after integration is supplied to the data transmission unit 170.

The data transmission unit 1 70 obtains the bucket from the packet V duplication unit 1 4 0. The data transmission unit 170 transmits the data including the bucket acquired from the packet duplication unit 140 to the router 3. Specifically, when the V-link between the data collection device 1 and the router 3 is a Ethernet, the data transmission unit 1 70 has an Ethernet frame that includes the packet as a data portion as a router.

Send to 3. The transmitter 1 7 0 Packet replica 1 4 0 Each time a packet is acquired, data including the acquired bucket is sent to Router 3. In this case, the destination IP address in the packet included in the data transmitted to the router 3 is the destination IP address in the packet that was included in the data received from the user device 2 by the data receiving unit 110. Also, the data transmission unit 1700 acquires the common data after integration from the data integration unit 1600. The data transmission unit 1700 generates a bucket (added with the destination IP address of the data analysis server 7) containing the integrated common data obtained from the data integration unit 1600, and generates the generated packet. Send data including router to router 3. Specifically, when the link between the data collection device 1 and the router 3 is Ethernet, the data transmission unit 1 70 receives an Ethernet frame including the packet as a data portion in the router 3. Send. The data transmission unit 1700 generates a packet each time it acquires common data after integration from the data integration unit 1600, and transmits data including the generated packet to the router 3.

Hereinafter, the operation of the data collection device 1 will be described. 4 and 5 are flowcharts showing an example of the operation of the data collection device 1 shown in FIG. In FIG. 4, the data receiving unit 110 receives data including a packet from the user device 2 (step S 1 0 0). The data reception unit 1 1 0 supplies the packet included in the received data to the model specification unit 1. 2 0 and the packet inspection unit 1 3 0. The model specifying unit 120 that has acquired the bucket from the data receiving unit 110 determines the model of the user device 2 by analyzing the acquired packet (step S 1 110).

Specifically, as shown in FIG. 5, the model specifying unit 1 2 0 determines whether or not the acquired packet is a bucket for connecting to a specific server (step S 1 1 2 ) For the acquired packet to connect to a specific server If it is determined by the model identification unit 1 2 0 that it is not a packet (Step S 1 1

1: N o), go to step S 1 2 0 in FIG. An example of a non-packet V that is a packet for connecting to a specific server is a packet V that transmits online game data that is sent after the connection phase is completed. On the other hand, if the model identification unit 120 determines that the acquired packet is a packet for connecting to a specific server (step S 1 1 1: Y es)

The model specifying unit 1 2 0 temporarily stores the packet in a predetermined area (an area for storing a packet for connecting to a specific server, hereinafter referred to as a “specific server connection packet storage area”). The packet is temporarily stored in association with the current time (step S 1 1 2). The model identification part 1 2 0

When step 1 1 2 is executed again after step S 1 90 (Y es), which will be described later, the packet (packet for connecting to a specific server) is sent to the specific server connection bucket storage area. Add to and store temporarily.

Following step S 1 1 2, the model specifying unit 1 2 0 checks whether the packet temporarily stored in the packet storage area for the specified server is a name resolution packet (DNS request packet) or not. (Step S 1 1 3). If the model storage unit 120 determines that the packet temporarily stored in the specific server connection bucket storage area is not a DNS request bucket (step S1 13: No), the steps in Figure 4 Proceed to SI 2 0.

On the other hand, if the model identification unit 120 determines that the bucket temporarily stored in the specific server connection bucket storage area is a DNS request packet (step S 1 13: Y es), model identification The unit 120 analyzes (acquires) the order in which the DNS request buckets are transmitted in a plurality of buckets temporarily stored in the packet storage area for the specific server connection. Then, the model identification unit 1 2 0 refers to the order information stored in the model identification information storage unit 1 The machine ID corresponding to the analyzed order is acquired and stored in the model information storage unit 10 4 (step S 1 1 4) o The model specifying unit 1 2 following step S 1 1 4

0 deletes a plurality of packets temporarily stored in the specific server connection packet storage area (step s 1 15). Then, the process proceeds to step S 1 2 0 in FIG.

The packet inspection unit 1 3 0 that acquired the packet -y packet from the data reception unit 1 1 0

It is determined whether the acquired packet contains a predetermined data (step

S 1 2 0). The bucket detection unit 1 3 0 includes the packet acquired from the data reception unit 1 1 0 and, together with the packet replication unit 1, a determination result indicating whether or not the packet ⁰ includes predetermined data. 4 Supply to 0.

The packet duplicating unit 140 determines whether or not the determination result indicating that the packet includes predetermined data is acquired from the packet inspection unit 130 (step S 1 2 0). If the packet 卜 duplication unit 14 0 determines that the determination result indicating that the specified data is not included with the packet 卜 is obtained (step S 1 2 0: No), the packet y copying unit 1 4 0, the packet to be supplied to the data transmission unit 1 7 0 o c ⁰ Kek preparative replication unit 1 4 0 data transmission unit 1 7 0 acquired bucket retrieved from the acquired bucket DOO The included data is transmitted to router 3 (step S 1 3 2). Proceed to step S 1 90.

On the other hand, when the packet duplicating unit 14 40 determines that the determination result indicating that the packet includes predetermined data is acquired (step S 1 2 0: Y es), the packet is stored as data. This is supplied to the transmitter 1 7 0. The data transmitting unit 1700 that has acquired the packet from the packet duplicating unit 1400 transmits the data including the acquired packet to the router 3 (step S130). Further, the packet duplicating unit 140 stores (duplicates) the packet in the bucket storage unit 106 (step S14O).

Subsequent to step S 1 4 0, the data extraction unit 1 5 0 The model ID is acquired from the model information storage unit 1 0 4. The data extraction unit 15 50 acquires the storage location information stored in the data extraction information storage unit 102 in association with the model ID acquired from the model information storage unit 104. In addition, the data extraction unit 15 50 acquires a bucket from the packet storage unit 10 6 and extracts predetermined data in the packet from the storage position indicated by the storage position information ( Step S 1 5 0). The data extraction unit 150 converts the model ID acquired from the model information storage unit 104 and each extracted data into common data (including the model ID and each extracted data). The data extraction unit 1 5 0 supplies the common data to the data integration unit 1 6 0. When the user apparatus 2 and the specific server are connected (when the connection phase is completed), the model ID is stored in the model information storage unit 104. In addition, the data extraction unit 150 deletes the bucket from which the predetermined data has been extracted from the bucket storage unit 106.

Subsequent to step S 1 5 0, the data integration unit 1 60 determines whether or not a predetermined time has elapsed since the previous integration (step S 1 60). If the data integration unit 160 determines that the predetermined time has not elapsed since the previous integration (step S 1 60: No), the process proceeds to step S 1 90.

On the other hand, if the data integration unit 160 determines that a predetermined time has elapsed since the previous integration (step S 1600: Y es), the data integration unit 160 has a predetermined time since the previous integration. A plurality of common data acquired from the data extraction unit 1550 is integrated within the time (step S 1700). The data integration unit 160 provides the common data after integration to the data transmission unit 170. The data transmission unit 1700 generates a packet (added with the destination IP address of the data analysis server 7) containing the common data after integration obtained from the data integration unit 1600, and generates the generated packet. The data including the data is transmitted to the router 3 (step S 1 80). Following step S 1 3 2, step S 1 60 (No) or step S 1 80, the operation determination unit (not shown) determines whether or not the operation of the data collection device 1 has ended. Judgment is made (step S 1 90). If the operation determination unit determines that the operation of the data collection device 1 has ended (step S 190: Y es), this flowchart ends. On the other hand, when the operation determination unit determines that the operation of the data collection device 1 has not ended (step S 1 90: No), the process returns to step SI 0 0.

As described above in detail, in the present embodiment, a packet sent from the user device 2 to the dedicated game site on the Internet 8 toward the website is analyzed, and an access destination site (connected to a specific server) is analyzed. For the multiple packets sent from the user device 2 for the purpose, the model of the user device 2 is selected based on the order in which the packets (DNS request packet) for name resolution of the access destination site are sent. Then, using the extraction method according to the model of the specified user device 2, the predetermined data necessary for analyzing the online game usage trend and Internet access status is extracted from the packet. I try to extract it.

Thus, according to this embodiment, the model of the user device 2 is specified by the packet analysis, and predetermined data necessary for the analysis is extracted from the packet by the extraction method according to the specified model. Therefore, it becomes possible to extract predetermined data necessary for analysis from the bucket regardless of the model of the user apparatus 2. For example, the storage location of the predetermined data in the packet transmitted from PS 3 and the storage location of the predetermined data in the packet transmitted from NDS are different from each other, but the packet is transmitted from PS 3. Even if it is a bucket sent from NDS, it is possible to automatically extract predetermined data from each storage location. In other words, according to the present embodiment, a dedicated game site on the Internet 8 is accessed from the user device 2 in order to play an online game, or a website on the Internet 8 is accessed from the user device 2 force. When an access is performed, the contents of the bucket sent from the user device 2 at that time are analyzed, and predetermined data such as the internal force of the bucket is extracted. Data is extracted every time the dedicated game site is accessed from each user device 2 and various websites are collected and collected by the data analysis server 7 to be provided by each company. The trend of online game usage and Internet access by various types of user devices 2 can be ascertained by analyzing the data analysis server 7.

In the above embodiment, the model specifying information storage unit 100 stores the order information in association with the model ID, but may store other information instead of or in addition to this. . FIG. 6 is a diagram showing another example of information stored in the model specifying information storage unit 100. As an example, as shown in Fig. 6 (a), the model identifying information storage unit 100 associates the model ID with information for identifying the specific server on the Internet 8 as shown in Fig. 6 (a). You can remember it. In the example shown in FIG. 6 (a), the model specifying information storage unit 100 is associated with, for example, the model ID “K 0 1” for identifying PS 3 and the specific server (game content server 4). The URLs “U 0 1”, “U 0 2 J”, etc. are remembered.The reason that there are two or more URLs of a specific server is because, for example, an alias (CNAME) may be used. The IP address of a specific server may be stored as information for specifying a specific server.

If the information storage unit for model identification 1 0 0 stores information for identifying a specific server on the Internet 8 in association with the model ID, the model identification unit 1 2 0 identifies the specific server. Based on the information Identify the model of the device 2. More specifically, the model specifying unit 120 first monitors the packet supplied from the data receiving unit 110, and is the information included in the bucket transmitted to the specific server. Analyze (acquire) information for identification (that is, the URL of the bucket including the URL of a specific server). Then, the model specifying unit 120 acquires the model ID stored in the model specifying information storage unit 100 in association with the analyzed URL. Note that the information for specifying the specific support differs depending on the model of the user device 2 as shown in FIG. 6 (a).

As another example, as shown in 6 (b), the model specifying information storage unit 100 is associated with a model ID and is created to communicate with a specific server. For example, information for identifying a browser (eg, a browser or online game software) (hereinafter referred to as an “application ID”) may be stored. In the example shown in FIG. 6B, the model specifying information storage unit 100 specifies the application A in association with, for example, the model ID Γ Κ 0 1 J for identifying PS 3. Application ID Γ AO 1 ”etc. are stored.

In addition, when the model specifying information storage unit 100 stores the pre- cession ID in association with the model ID, the model specifying unit 1 2 0 stores the user device 2 based on the application ID. Specify the model. More specifically, the model specifying unit 1 2 0 first monitors the packet supplied from the data receiving unit 1 1 0, and the application included in the packet transmitted to the specific server. Analyze (acquire) the ID. Then, the model specifying unit 1 2 0 acquires the model ID stored in the model specifying information storage unit 1 0 0 in association with the analyzed application ID. Note that the application software that operates to communicate with a specific server differs for each user device 2 model, as shown in Fig. 6 (b). The model identification unit 1 2 0 is based on a combination of two or more of the order in which the buckets for name resolution are sent and the information and application ID for identifying the specific server. The model of device 2 may be specified.

In the above embodiment, an example in which the data collection function is realized by the data collection device 1 arranged between the user device 2 and the router 3 has been described. However, the present invention is not limited to this. For example, the data collection device 1 may be a device having a router function (in this case, the router 3 is unnecessary). In addition, part or all of the functions of the data collection device 1 can be realized by, for example, DSP or software incorporated in the user device 2 or the data analysis server 7.

Further, in the above embodiment, two types of P S 3 and N D S are given as examples of the model of the user apparatus 2, but this is only an example. For example, X box (registered trademark), Xb 0 x 3 60 (registered trademark) manufactured by Mike Mouth Soft, PS 2 (registered trademark), PSP (registered trademark) manufactured by Sony Computer Entertainment Inc. Needless to say, other models such as Niiendo's Wii (registered trademark) can be used. The user device 2 is not limited to a game machine, and may be an information home appliance such as an electronic range that downloads recipes from the Internet.

As for the game machine used as the user device 2, new models may be released at any time. In that case, the data collection device 1 connected to the new model will not be able to acquire data with the old software. Therefore, the data collection device 1 may be provided with a function that allows the software to be updated remotely when a new model is released.

In the above embodiment, an example in which one user device 2 is connected to the data collection device 1 has been described. A plurality of user apparatuses 2 may be connected to each other.

In the above embodiment, the data integration unit 160 integrated the plurality of common data acquired from the data extraction unit 15 50 within a predetermined time, but the data integration unit 160 has a plurality of The timing for integrating common data is not limited to this. As an example, the data integration unit 160 may integrate a predetermined number of common data every time a predetermined number of common data is acquired from the data extraction unit 150. As another example, if the data integration unit 160 has not acquired any common data from the data extraction unit 15 50 for a predetermined time since the last acquisition of common data, You can integrate multiple common data acquired after the integration.

In the above embodiment, the data extraction unit 15 50 supplied the common data to the data integration unit 160, but the data extraction unit 15 50 sends the common data to the data transmission unit 1700. You may supply. That is, the data collection device 1 may transmit to the router 3 every time the common data is extracted (in real time) without integrating the common data. In the case where the data extraction unit 150 supplies common data to the data transmission unit 170, the data collection unit 1 does not need the data integration unit 160.

Further, the data extraction unit 150 may simply store (store) the common data. In the case where the data extraction unit 15 50 accumulates common data, the data collection unit 1 does not need the data integration unit 160. Further, the data transmission unit 1700 acquires a packet only from the replication unit 1400 (has a function of transmitting the predetermined data extracted by the data extraction unit 1550 to the data analysis server 7 The data transmitter 1 7 0 'is not required).

In the above embodiment, as described at the beginning, “packet” refers to an IP datagram (IP packet) for convenience of explanation. However, “packet” refers to an IP datagram (IP packet). G) means only It should not be interpreted as being limited. In the present invention, “bucket J” simply refers to collected data, such as any of frames, IP datagrams, and segments.

In addition, each of the above-described embodiments is merely an example of implementation in practicing the present invention, and J: the technical scope of the present invention should not be construed in a limited way. That is, the present invention has its spirit

It can be implemented in various ways without departing from the main features. Industrial applicability

The present invention relates to user usage trends of online games that participated from a personal computer, a mobile terminal, a home game machine, etc., and a personal computer, a mobile terminal, a home game machine, and an information home appliance

(Data collection device and data collection method applicable to systems that investigate Internet access status from microwave ovens that download recipes, TVs and other network home appliances that download program guides, etc.) Is preferred.

Claims

The scope of the claims

1. A data collection device that monitors packets transmitted from a user device to the Internet and collects the predetermined data from a packet including predetermined data.

By analyzing the bucket transmitted from the user device, a model specifying unit for specifying the model of the user device;

A packet inspection unit for inspecting whether each packet transmitted from the user device includes the predetermined data;

A packet duplicating unit for duplicating a packet determined to contain the predetermined data by the bucket inspection unit;

A data extraction unit for extracting the predetermined data from the bucket duplicated by the bucket duplication unit by an extraction method according to the model of the user device identified by the model identification unit; A data collection device characterized by comprising:

2. The model identifying unit analyzes a plurality of packets transmitted from the user device, and transmits the packet transmitted from the user device to connect to a specific server that is a transmission destination of the bucket including the predetermined data. The type of the user device is specified in a plurality of packets based on an order in which a bucket for name resolution of the specific server is transmitted. Data collection device.

3. The model specifying unit is information included in a bucket that is analyzed to a plurality of packets transmitted from the user device and transmitted to a specific server that is a transmission destination of the packet including the predetermined data. The data collection device according to claim 1, wherein the model of the user device is specified based on the information for specifying the specific server.

4. The model specifying unit is information included in a bucket that is analyzed to a plurality of packets transmitted from the user device and transmitted to a specific server that is a transmission destination of the packet including the predetermined data. The method of claim 1, wherein the model of the user device is specified based on information for specifying application software that operates to communicate with the specific server. The data collection device described.

5. The storage location of the predetermined data in the bucket 'transmitted from the user device differs depending on the model of the user device, and the data extraction unit The predetermined data is extracted from the storage position corresponding to the model of the user device specified by the model specifying unit with reference to storage location information indicating the storage location. The data collection device according to item 1.

6. The data collection device according to claim 1, further comprising a data transmission unit that transmits the predetermined data extracted by the data extraction unit to a data analysis server.

7. It further comprises a data integration unit that integrates the plurality of predetermined data extracted from the plurality of buckets by the data extraction unit,

The data collection unit according to claim 6, wherein the data transmission unit transmits the predetermined data integrated by the data integration unit to the data analysis server. apparatus.

8. A data collection method for monitoring a packet transmitted from a user device to the Internet and collecting the predetermined data from a packet including predetermined data,

By analyzing the packet transmitted from the user device, a model specifying step for specifying the model of the user device;

Each packet transmitted from the user device includes the predetermined data. A packet inspection step to check whether or not

A packet duplication step for duplicating the bucket determined to contain the predetermined data by the packet inspection step;

The predetermined data is extracted from the packet including the predetermined data duplicated in the packet duplication step by an extraction method according to the model of the user device identified in the model identification step. A data collection method comprising: a data extraction step for extraction.