Multi-factor captcha with adjunct signals
AssigneeInternational Business Machines Corporation
InventorsTrudy L. Hewitt, Carolina Garcia Delgado, Jeremy R. Fox, Mauro Marzorati
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AssigneeInternational Business Machines Corporation
InventorsTrudy L. Hewitt, Carolina Garcia Delgado, Jeremy R. Fox, Mauro Marzorati
Estimating the term…
An approach for improving completely automated public turing test to tell computers and humans apart (CAPTCHA) reliability for a resource. The approach receives a request for a CAPTCHA validation from a user. The approach retrieves a CAPTCHA analysis configuration associated with the user. The approach displays a CAPTCHA multi-zone display defined by the configuration. The approach receives video input containing adjunct objects, associated with objects visible on the user, from the user for the multi-zone display. The approach determines if the inputs are valid based on the CAPTCHA analysis configuration. The approach, responsive to the inputs being valid, allows access to the resource.
A computer-implemented method for improving completely automated public turing test to tell computers and humans apart (CAPTCHA) reliability for a resource, the computer-implemented method comprising:
A computer system for improving completely automated public turing test to tell computers and humans apart (CAPTCHA) reliability for a resource, the computer system comprising:
A computer-implemented method for configuring an improved completely automated public turing test to tell computers and humans apart (CAPTCHA) for a resource, the computer-implemented method comprising:
A computer program product for improving completely automated public turing test to tell computers and humans apart (CAPTCHA) reliability for a resource, the computer program product comprising:
A computer program product for configuring an improved completely automated public turing test to tell computers and humans apart (CAPTCHA) for a resource, the computer program product comprising:
Dependencies are inferred from the claim text.