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Overlay human interactive proof system and techniques

A technology of human interaction proof and partial image, which is applied in the field of human interaction proof system and technology, and can solve security and/or privacy violation problems

Active Publication Date: 2013-01-16
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Other examples are computer-based applications or services that provide a convenient way for users to order goods or services, and are vulnerable to security and / or privacy violations due to bots masquerading as human users

Method used

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  • Overlay human interactive proof system and techniques
  • Overlay human interactive proof system and techniques
  • Overlay human interactive proof system and techniques

Examples

Experimental program
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Embodiment Construction

[0020] The Overlay Human Interaction Attestation System ("OHIPS") and techniques described herein operate in conjunction with any known or later developed computer-based application or service to provide security for resources by reliably distinguishing between human and non-human users access. An example operation of OHIPS is described with reference to a HIP comprising a visual object in the form of an image of text characters, however it will be appreciated that there are virtually infinite types of known and Visual objects (including, but not limited to, images of numbers and / or general content) developed later.

[0021] Turning now to the drawings, where like numerals designate like components. 1 is a simplified functional block diagram illustrating an example communications architecture in which aspects of OHIPS 101 may be implemented or used to manage access to HIP-protected resources 106 . As shown, the HIP-protected resource 106 is implemented as or within the serve...

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PUM

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Abstract

Overlay human interactive proof system ("OHIPS") and techniques described herein operate in conjunction with any known or later developed computer-based applications or services to provide secure access to resources by reliably differentiating between human and non-human users. Humans have generally superior ability to differentiate misaligned characters or objects from correctly aligned ones. As such, the OHIP splits an image including one or more visual objects into two or more partial images to form a HIP. Partial images may also be further split into groups of sub-partial images, and / or partial images (or the sub-partial images) may be moved, so that at any given alignment position, a user can recognize only some visual objects. A user is instructed to reassemble the partial images at one or more predetermined alignment positions using a GUI, and the user is asked to identify information regarding one or more visible objects.

Description

Background technique [0001] Many computer-based applications and / or services have a need to distinguish between humans and computer users (often referred to as "bots") accessing computer-accessible resources. For example, there are many online email services that allow a user to create an email account by entering some basic information. The user can then use the email account to send and receive email. This ease of setting up email accounts has allowed spammers to use robots (eg, computer programs) that automatically create email accounts using randomly generated account information, and use email accounts to send out thousands of spam emails . Other example computer-based applications or services provide a convenient way for users to order goods or services, and are vulnerable to security and / or privacy violations due to bots masquerading as human users. [0002] User testing (sometimes referred to as Completely Automated Public Turing tests to tell Computers and Humans A...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/44G06F21/31H04L9/32
CPCH04L9/32G06F21/31G06F21/36G06F9/44G06F2221/2133
Inventor 李伟生朱斌徐宁J.刘
Owner MICROSOFT TECH LICENSING LLC