52 results about "Turing test" patented technology

The invention provides a verification method and system for VAPTCHA. The method comprises the steps of generating a plurality of non-coinciding collection points randomly in a designated area and then generating a connection diagram connecting all the collection points; fusing the connection diagram and a preset background image to generate a VAPTCHA code and sending the VAPTCHA code to a client terminal; displaying the generated VAPTCHA code by the client terminal; performing comparative analysis and verification on a collected mouse track and the generated VAPTCHA code; displaying a verification result via the client terminal. The method and the system have the advantages that a user can finish verification only by moving a mouse; simple geometric figures are used as verification codes, so that identification is easier and user experience is improved; generated VAPTCHA codes achieve background interference on the premise that the difficulty of identification by people is not increased and a certain proportion of areas with the same color as geometric paths are added to increase the difficulty of a binarization step of an attacking algorithm, so that verification security is greatly improved.

The present disclosure relates to a Completely Automated Public Turing Test to tell Computers and Humans Apart (CAPTCHA) image authentication method and system. The CAPTCHA image authentication method comprises the steps of: collecting a plurality of first objects; defining a plurality of variables so as to be used as basis for classifying and dividing the plural first objects into M groups accordingly while allowing each group in the M groups to correspond to at least one variable selected from the plural variables; selecting at least one group from the M groups while further grading and dividing the first objects in the selected group into subgroups of N grades based upon a standard unit of the variable corresponding to the selected group; sorting and storing the subgroups of N grades; and selecting a plurality of authentication objects from the subgroups of N grades to be used in an authentication process.

The invention relates to a system and method of automatically distinguishing between computers and human based on responses to enhanced Completely Automated Public Turing test to tell Computers and Humans Apart (“e-captcha”) challenges that do not merely challenge the user to recognize skewed or stylized text. A given e-captcha challenge may be specific to a particular knowledge domain. Accordingly, e-captchas may be used not only to distinguish between computers and humans, but also determine whether a respondent has demonstrated knowledge in the particular knowledge domain. For instance, participants in crowd-sourced tasks, in which unmanaged crowds are asked to perform tasks, may be screened using an e-captcha challenge. This not only validates that a participant is a human (and not a bot, for example, attempting to game the crowd-source task), but also screens the participant based on whether they can successfully respond to the e-captcha challenge.

Systems, methods and program codes are provided wherein an analyzer analyzes input from a terminal device; ascertains human-like behavior; and terminates an active session, generates a time-out warning, manipulates an idle session timer or presents a challenge in response to a humanness likelihood determination or to a challenge result. In one aspect a keystroke analyzer and a command sequence analyzer determine whether the terminal device input is likely from a human user or from an automaton. In another aspect a Completely Automated Public Turing Test to tell Computers and Humans Apart challenge is presented. Timing characteristics include maximum generation rate, burstiness, and keystroke sequence delays, and command characteristics include a no-action-required characteristic and a query characteristic. A command sequence analyzer may have an affinity for a command line interface. Weighting algorithms or artificial intelligence routines may be applied to humanness likelihood outputs.

Disclosed is a method of providing a completely automated public turing test to tell a computer and a human apart (CAPTCHA) based on image. The method comprises the steps of: storing a plurality of randomly-selected images by session when a request for a web page is received from a user client; providing the web page and a session ID to the user client; generating a test image by mixing the plurality of images when a request for a test image corresponding to the session ID is received from the user client; transmitting the generated test image to the user client; receiving at least one of first identification information inputted by the user about the test image from the user client; and comparing the first identification information with second identification information included in Meta information of the test image.

Methods, apparatus, and products are disclosed for user authorization using an automated Turing Test that include: selecting, by an automated Turing Test module, a challenge token, the challenge token including a challenge key; repeatedly at an Automated Turing Test pace: selecting, by the Automated Turing Test module, a portion of the challenge token in dependence upon predetermined selection criteria, and revealing, by Automated Turing Test module, only the selected portion of the challenge token to a user; receiving, by the Automated Turing Test module from the user, a user response; determining, by the Automated Turing Test module, whether the user response matches the challenge key; and authorizing, by the Automated Turing Test module, the user to access a resource if the user response matches the challenge key.