INFERRING LEGITIMACY OF WEB-BASED RESOURCE REQUESTS

• US 20090013031A1
• Filed: 07/03/2007
• Published: 01/08/2009
• Est. Priority Date: 07/03/2007
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Right Media Incorporated (Apollo Global Management, Inc.)
• Inventors: Giacomelli, Steven N., Nolet, Michiel
• Application Number:
  US11/773,004
• Publication Number:
  US 20090013031A1
• Time in Patent Office: Days
• US Class Current: 709/203
• CPC Class Codes: G06F 21/562 Static detection
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/53 using third party service providers
• 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: H04L 67/561 Adding application-functional data or data for application control, e.g. adding metadata

Abstract

There are methods and apparatus, including computer program products, for receiving web-based resource requests at a first computing system from a second computing system, the first computing system and a second computing system being in electronic communication through a network, each web-based resource request being defined by one or more variable-value pairs; extracting data from the web-based resource requests, the extracted data including a set of variable/value pairs that is associated with a first subset of the web-based resource requests, the set of variable/value pairs including values that have been assigned to a uniform resource locator (URL) variable; and examining the extracted data to infer a web user agent type that is a source of the first subset of the web-based resource requests

Claims

1. A computer-implemented method comprising:

receiving web-based resource requests at a first computing system from a second computing system, the first computing system and a second computing system being in electronic communication through a network, each web-based resource request being defined by one or more variable-value pairs;

extracting data from the web-based resource requests, the extracted data including a set of variable/value pairs that is associated with a first subset of the web-based resource requests, the set of variable/value pairs including values that have been assigned to a uniform resource locator (URL) variable; and

examining the extracted data to infer a web user agent type that is a source of the first subset of the web-based resource requests.

2. The method of claim 1, wherein at least the first subset of the web-based resource requests are received from a first web user agent of the second computing system.

3. The method of claim 2, wherein the first web user agent is operable by a human user.

4. The method of claim 2, wherein the first web user agent is operable by a robot.

5. The method of claim 2, wherein at least a second subset of the web-based resource requests are received from a second web user agent of the second computing system.

6. The method of claim 2, wherein at least a second subset of the web-based resource requests are received from a web user agent of a third computing system.

7. The method of claim 1, wherein the web-based resource requests of the first subset share one or more common elements with respect to resources associated with the first computing system that are being requested.

8. The method of claim 7, wherein:

the first computing system represents a first business entity on an advertisement exchange or an advertising network;

the web-based resource requests comprise advertisement calls for one or more advertisement space inventory slices that is managed by the first business entity; and

the web-based resource requests of the first subset share a common advertisement space inventory slice element.

9. The method of claim 1, wherein examining the extracted data comprises:

comparing the values of the set of variable/value pairs with a reference set of URLs to identify each value that matches a URL of the reference set that is known to be associated with an illegitimate type of web user agent.

10. The method of claim 9, further comprising:

based on the comparing, taking an action with respect to resources associated with the first computing system that are being requested.

11. The method of claim 10, wherein:

the first computing system represents a first business entity on an advertisement exchange or an advertising network;

the first subset of the web-based resource requests comprise advertisement calls for a first advertisement space inventory slice that is managed by the first business entity; and

wherein taking an action comprises banning the first advertisement space inventory slice from being transacted on the advertisement exchange or the advertisement network.

12. The method of claim 1, wherein examining the extracted data comprises:

comparing the values of the set of variable/value pairs with a reference set of URLs; and

taking an action if the comparing yields at least one value that does not match a URL of the reference set.

13. The method of claim 12, wherein:

the first computing system represents a first business entity on an advertisement exchange or an advertising network;

the first subset of the web-based resource requests comprise advertisement calls for a first advertisement space inventory slice that is managed by the first business entity; and

wherein taking an action comprises examining other variable/value pairs of the web-based resource requests of the first subset to determine whether at least one pattern indicative of advertisement calls that are initiated by a web user agent that is of a web-enabled desktop application type exists.

14. The method of claim 13, wherein taking an action further comprises:

adding each value that does not match a URL of the reference set to a list of unverified URLs if at least one pattern indicative of advertisement calls that are initiated by a web user agent that is of a web-enabled desktop application type exists.

15. The method of claim 1, wherein the set of variable/value pairs include values that have been assigned to one or more of the following variables:

an Internet Protocol address, a web browser type, a requested advertisement type, an impression frequency bucket, and an impression frequency bucket.

16. A machine-readable medium that stores executable instructions to cause a machine to:

receive web-based resource requests at a first computing system from a second computing system, the first computing system and a second computing system being in electronic communication through a network, each web-based resource request being defined by one or more variable-value pairs;

extract data from the web-based resource requests, the extracted data including a set of variable/value pairs that is associated with a first subset of the web-based resource requests, the set of variable/value pairs including values that have been assigned to a uniform resource locator (URL) variable; and

examine the extracted data to infer a web user agent type that is a source of the first subset of the web-based resource requests

17. A computer-implemented method comprising:

enabling a user to identify a uniform resource locator (URL) identifier to be examined;

retrieving information associated with the user-identified URL identifier from one or more data sources;

displaying the retrieved information in a graphical user interface; and

enabling the user to infer a web user agent type based on the displayed information.

18. The method of claim 17, wherein enabling the user to identify a URL identifier to be examined comprises:

displaying a list of unverified URL identifiers in the graphical user interface; and

enabling the user to select one of the URL identifiers in the list of unverified URL identifiers.

19. The method of claim 17, wherein enabling the user to identify a URL identifier to be examined comprises:

providing a text box in which the user enters a URL to be examined.

20. The method of claim 17, wherein the one or more data sources comprises one or more third party data sources.

21. The method of claim 17, wherein the web user agent type comprises at least the following:

an illegitimate type of web-enabled desktop application and a legitimate type of web-enabled desktop application.

22. A machine-readable medium that stores executable instructions to cause a machine to:

enable a user to identify a uniform resource locator (URL) identifier to be examined;

retrieve information associated with the user-identified URL identifier from one or more data sources;

display the retrieved information in a graphical user interface; and

enable the user to infer a web user agent type based on the displayed information.

23. A computer-implemented method comprising:

queuing candidate uniform resource locators (URLs) for inspection;

loading a first candidate URL in a browser that is in communication with a proxy server;

capturing by the proxy server hops through a network that result from the loading of the first candidate URL; and

enabling the proxy server data to analyze information associated with the captured hops to determine whether the loading of the first candidate URL resulted in an advertisement call to an advertisement exchange or an advertisement network with which the proxy server is associated.

24. The method of claim 23, wherein if the loading of the first candidate URL is determined to have resulted in an advertisement call to an advertisement exchange or an advertisement network, the method further comprises:

enabling the proxy server data to provide information sufficient to identify each slice of advertisement space inventory that is associated with the advertisement call.

25. The method of claim 24, further comprising:

taking an action to prevent each identified slice of advertisement space inventory from being transacted on the advertisement exchange or the advertisement network.

26. (canceled)