Method and apparatus for storing data on application-level activity and other user information to enable real-time multi-dimensional reporting about user of a mobile data network

• US 8,958,313 B2
• Filed: 05/08/2012
• Issued: 02/17/2015
• Est. Priority Date: 11/27/2007
• Status: Active Grant

• Current Assignee: Ribbon Communications Securities Corp. (Ribbon Communications, Inc.)
• Original Assignee: Zettics Incorporated. (Ribbon Communications, Inc.)
• Inventors: Kalavade, Asawaree
• Primary Examiner(s): Zhao, Wei
• Application Number:
  US13/466,748
• Publication Number:
  US 20120221570A1
• Time in Patent Office: 1,015 Days
• Field of Search: 707/705, 707/724, 707/736, 707/784, 709/224, 370/250
• US Class Current: 370/250
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: H04L 41/0213 Standardised network management protocols, e.g. simple network management protocol [SNMP]
• CPC Class Codes: H04L 43/065 related to network devices
• CPC Class Codes: H04L 43/08 Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
• CPC Class Codes: H04L 43/0876 Network utilisation, e.g. volume of load or congestion level
• CPC Class Codes: H04L 43/12 Network monitoring probes
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/18 Information format or content conversion, e.g. adaptation by the network of the transmitted or received information for the purpose of wireless delivery to users or terminals

Abstract

A method and apparatus for storing data on application-level activity and other user information to enable real-time multi-dimensional reporting about a user of a mobile data network. A data manager receives information about application-level activity from a mobile data network and stores the information to provide dynamic real-time reporting on network usage. The data manager comprises a database, data processing module, and analytics module. The database stores the application-level data for a predetermined period of time. The data processing module monitors the data to determine if it corresponds to a set of defined reports. If the data is relevant, the processing module updates the defined reports. The analytics module accesses the database to retrieve information satisfying operator queries about network usage. If the operator chooses to convert the query into a defined report, the analytics module creates a newly defined report and populates it accordingly.

Claims

1. A method for capturing user application-level information from a mobile data network to provide a user-specific report, the method comprising:

receiving data communications from a plurality of routers in the mobile data network, the data communications originating from mobile devices;

inspecting the data communications to detect IP addresses associated with the data communications;

determining corresponding phone numbers for the mobile devices using the detected IP addresses;

detecting, in the data communications, user application activity on the mobile devices;

using the determined phone numbers, creating a table with an entry for each of the mobile devices identifying application level activity corresponding to each of the mobile devices, wherein each entry includes URLs accessed by the mobile device, demographics information, location information, and device information;

updating the table over a period of time, using the determined phone numbers, to generate an application-level history for each of the mobile devices in the table;

receiving a request for the user-specific report relating to a specific mobile device in the table, wherein the user-specific report requests historical application-level usage information for the specific mobile device;

in response to the request, querying the table to identify application level information relating to the specific mobile device; and

generating the user-specific report corresponding to the specific mobile device, wherein the generated user-specific report includes information from the table relating to content requested by the specific mobile device.

2. The method of claim 1, where the generated user-specific report includes at least one of URLs accessed by the mobile device, time spent on each URL, demographics information, URL categories, the current location of the specific mobile device, and a rate plan for the specific mobile device.

3. The method of claim 1, further comprising identifying which of the mobile devices identified in the table are active.

4. The method of claim 1, further comprising deriving behavior information relating to at least one user of the mobile devices using the information contained in the table.

5. An apparatus for capturing user application-level information from a mobile data network to provide a user-specific report, the apparatus comprising:

a processor;

a memory coupled to the processor including computer readable instructions that, when executed by the processor, cause the processor to;

receive data communications from a plurality of routers in the mobile data network, the data communications originating from mobile devices;

inspect the data communications to detect IP addresses associated with the data communications;

determine corresponding phone numbers for the mobile devices using the detected IP addresses;

detect, in the data communications, user application activity on the mobile devices;

using the determined phone numbers, create a table with an entry for each of the mobile devices identifying application level activity corresponding to each of the mobile devices, wherein each entry includes URLs accessed by the mobile device, demographics information, location information, and device information;

update the table over a period of time, using the determined phone numbers, to generate an application-level history for each of the mobile devices in the event table;

receive a request for the user-specific report relating to a specific mobile device in the table, wherein the user-specific report requests historical application-level usage information for the specific mobile device;

in response to the request, query the table to identify application level information relating to the specific mobile device; and

generate the user-specific report corresponding to the specific mobile device, wherein the user-specific report includes information from the table relating to content requested by the specific mobile device.

6. The apparatus of claim 5 wherein the computer readable instructions are further configured such that the generated user-specific report includes at least one of URLs accessed by the mobile device, time spent on each URL, demographics information, URL categories, the current location of the specific mobile device, and a rate plan for the specific mobile device.

7. The apparatus of claim 5 wherein the computer readable instructions are further configured to cause the processor to identify which of the mobile devices identified in the table are active.

8. The apparatus of claim 5 wherein the computer readable instructions are further configured to cause the processor derive behavior information relating to at least one user of the mobile devices using the information contained in the table.