IMAGE-BASED HUMAN INTERACTIVE PROOFS

• US 20100162357A1
• Filed: 12/19/2008
• Published: 06/24/2010
• Est. Priority Date: 12/19/2008
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Chickering, David M., Iverson, Kristofer N.
• Application Number:
  US12/339,402
• Publication Number:
  US 20100162357A1
• Time in Patent Office: Days
• US Class Current: 726/3
• CPC Class Codes: G06F 21/36 by graphic or iconic representation
• CPC Class Codes: G06F 2221/2133 Verifying human interaction, e.g., Captcha

Abstract

This document describes image-based human interactive proofs (HIPs). In some cases these proofs may be used when a browser at a client is used to access resources from a web server. Before access to the resources is enabled, the client can be challenged by the web server with an image-based puzzle. The image-based puzzle is configured to enable distinctions to be made between human input and non-human input. Input to answer the image-based puzzle can be formed via the client and communicated to the web server. The web server receives the input from the client and selectively enables client access to the resources based upon the input. In at least some embodiments, the web server can make use of a community database that stores client answers to image-based puzzles to assist in distinguishing between human input and non-human input.

Claims

1. A computer-implemented method comprising:

providing to a client one or more graphical images that form an image-based puzzle, wherein the one or more graphical images do not contain text sufficient to derive a valid answer to the image-based puzzle;

receiving input regarding the one or more graphical images from the client; and

determining whether the input regarding the one or more graphical images is human input or non-human input.

2. A computer-implemented method as recited in claim 1, wherein the input is provided as an answer to the image-based puzzle.

3. A computer-implemented method as recited in claim 1, further comprising selectively enabling the client to access one or more resources via a web server based upon the determining.

4. A computer-implemented method as recited in claim 1, wherein the providing comprises outputting a user interface having the one or more graphical images and operable by the client to provide the input.

5. A computer-implemented method as recited in claim 1, further comprising enabling the client to access one or more resources from a web provider when the input is determined to be human input.

6. A computer-implemented method as recited in claim 1, wherein at least one of the one or more graphical images is obfuscated to prevent recognition of the image by a computer.

7. A computer-implemented method as recited in claim 1, wherein the received input is to answer the image-based puzzle by matching the one or more graphical images to one or more descriptions.

8. A computer-implemented method as recited in claim 1, further comprising enabling the client to access one or more resources available via a web server when the received input describes a commonality of the one or more graphical images that is capable of being perceived by a human.

9. A computer-implemented method as recited in claim 1, wherein determining whether the input is human input or non-human input comprises comparing the input to one or more descriptions of the one or more graphical images, the one or more descriptions known to be from humans.

10. A computer-implemented method comprising:

comparing input received from a client regarding an image-based puzzle to known input from one or more humans regarding the image-based puzzle;

determining whether the input received from the client is human input or non-human input based on the comparing;

if the input is human input, enabling the client to access one or more resources; and

if the input is non-human input, denying the client access to the one or more resources.

11. The computer-implemented method of claim 10, further comprising:

communicating the image-based puzzle over a network to the client responsive to a request from the client to access the one or more resources; and

receiving the input regarding the image-based puzzle from the client over the network.

12. The computer-implemented method of claim 10, wherein the input is a description of a commonality shared by a plurality of images in the image-based puzzle.

13. The computer-implemented method of claim 10, wherein the input is to match a plurality of images in the image-based puzzle to one or more descriptions.

14. The computer-implemented method of claim 10, wherein the image-based puzzle includes a textual description and the input comprises a selection of an image in the image-based puzzle as a best match to the textual description.

15. The computer-implemented method of claim 10, wherein the image-based puzzle includes one or more images that have been obfuscated to prevent recognition of the images by a computer.

16. The computer-implemented method of claim 10, wherein the one or more resources include functionality to enable the client to establish a user account with a web provider.

17. The computer-implemented method of claim 10, wherein the one or more resources include a web service available over a network from a web provider.

18. A system comprising:

one or more computer-readable storage media; and

computer-readable instructions embodied on the one or more computer-readable storage media which, when executed, implement a human interactive proof (HIP) management module configured to;

provide an image-based puzzle to a client when the client seeks access to one or more resources;

receive an answer to the image-based puzzle input by the client;

determine whether the received answer is from a human; and

enable the client to access the one or more resources responsive to the received answer being determined to be from a human.

19. The system of claim 18, wherein the image-based puzzle comprises one or more graphical images.

20. The system of claim 18, wherein to determine whether the received answer is from a human comprises comparing the received answer to a collected answer regarding the image-based puzzle known to be from a human.