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Overlay human interactive proof system and techniques

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

Active Publication Date: 2014-11-05
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
Comparison scheme
Effect test

Embodiment Construction

[0020] The Covered Human Interaction Proof System ("OHIPS") and technology described here operate in conjunction with any known or later-developed computer-based applications or services to provide security for resources by reliably distinguishing between human and non-human users access. Example operations of OHIPS are described with reference to HIP including visual objects in the form of images of text characters, but it will be appreciated that there are almost infinite types of known and known systems that can be utilized to implement or use the systems and technologies described herein. Visual objects developed in the future (including but not limited to digital and / or general content images).

[0021] Turning now to the drawings, where the same numbers designate the same components. figure 1 Is a simplified functional block diagram showing an example communication architecture in which aspects of OHIPS 101 can be implemented or used to manage access to HIP-protected resour...

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PUM

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Abstract

The 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 a 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. The partial images may also be further split into groups of sub-partial images, and / or the 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 the need to distinguish between humans and computer users (often referred to as "bots") who access computer-accessible resources. For example, there are many online email services that allow users to create email accounts by entering certain basic information. The user can then use the email account to send and receive emails. This ease of creating an email account has allowed spammers to use bots (for example, computer programs) that automatically create email accounts with randomly generated account information, and use email accounts to send thousands of spam emails . Other examples of computer-based applications or services provide users with convenient ways to order goods or services, and are vulnerable to security and / or privacy violations caused by robots disguised as human users. [0002] User testing (sometimes referred to as Completely Automated Public Turing tests to tell Computers and ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/44G06F21/31H04L9/32
CPCG06F9/44H04L9/32G06F21/36G06F2221/2133
Inventor 李伟生朱斌徐宁J.刘
Owner MICROSOFT TECH LICENSING LLC