Abstract: A variety of systems and methods can include evaluation of human user effort data. Various embodiments apply techniques to identify anomalous effort data for the purpose of detecting the efforts of a single person, as well as to segment and isolate multiple persons from a single collection of data. Additional embodiments describe the methods for using real-time anomaly detection systems that provide indicators for scoring effort data in synthesized risk analysis. Other embodiments include approaches to distinguish anomalous effort data when the abnormalities are known to be produced by a single entity, as might be applied to medical research and enhance sentiment analysis, as well as detecting the presence of a single person's effort data among multiple collections, as might be applied to fraud analysis and insider threat investigations. Embodiments include techniques for analyzing the effects of adding and removing detected anomalies from a given collection on subsequent analysis.

Abstract: A method of performing a transaction between a first user of a first input device, and a second user of a second input device, the method includes generating, via the first input device, a transaction request with a with a first effort-based identity token associated with first user, receiving a response with the token and a validation key obtained from a validation server via the second input device based on a second effort-based identity token associated with the second user and a second user effort, providing the second user effort and second effort-based identity token to the validation server, receiving a second effort validation key from the validation server, and sending the transaction with the first user and second user identity-based tokens and first and second effort validation keys to the second person to complete the transaction while ensuring both the first and second users are consistent throughout the transaction.

Abstract: Disclosed herein are techniques for authenticating a user via gestures, QR codes, and passphrases generated to incorporate typing habits of the user. A passphrase system generates a one-time use passphrase, which incorporates hallmarks and/or quirks of the user's typing, and presents the generated passphrase as an authentication challenge to authenticate as the user. If metrics collected during the authentication challenge are statistically similar to metrics of the user's typing, the authentication succeeds; otherwise, the authentication fails. A user's gesture habits during input of an authentication drawing may be used as a target for future authentication attempts. A user's input motions (typing and/or gestures) may be converted into a secure QR code; a different host device may use the secure QR code to obtain the target metrics for future authentication attempts of the user.

Abstract: A method of authenticating a user of a user device, the method includes receiving a user effort-based identity authentication token from a user device, generating a challenge request, receiving an effort validation response, generated by an effort validation server in response to a user performed requested effort, receiving the effort-based identity authentication token, and authenticating the user as a function of the received validation response and the user effort-based identity authentication token.

Abstract: A method of authenticating a user based on user effort, the method includes receiving a registration from a user device with a user effort-based identity authorization token and a first user effort, submitting the first effort to the effort validation server, receiving an effort analysis from the effort validation server, issuing a credential to the user device based on the effort analysis, receiving an access request from the user device, the access request including the credential and a second effort, providing the second effort to the validation server, receiving a validation response from the validation server, and granting access to the user device as a function of the validation response.

Abstract: A variety of systems and methods can include evaluation of human user effort data. Various embodiments apply techniques to identify anomalous effort data for the purpose of detecting the efforts of a single person, as well as to segment and isolate multiple persons from a single collection of data. Additional embodiments describe the methods for using real-time anomaly detection systems that provide indicators for scoring effort data in synthesized risk analysis. Other embodiments include approaches to distinguish anomalous effort data when the abnormalities are known to be produced by a single entity, as might be applied to medical research and enhance sentiment analysis, as well as detecting the presence of a single person's effort data among multiple collections, as might be applied to fraud analysis and insider threat investigations. Embodiments include techniques for analyzing the effects of adding and removing detected anomalies from a given collection on subsequent analysis.

Abstract: Disclosed herein are techniques for authenticating a user via gestures, QR codes, and passphrases generated to incorporate typing habits of the user. A passphrase system generates a one-time use passphrase, which incorporates hallmarks and/or quirks of the user's typing, and presents the generated passphrase as an authentication challenge to authenticate as the user. If metrics collected during the authentication challenge are statistically similar to metrics of the user's typing, the authentication succeeds; otherwise, the authentication fails. A user's gesture habits during input of an authentication drawing may be used as a target for future authentication attempts. A user's input motions (typing and/or gestures) may be converted into a secure QR code; a different host device may use the secure QR code to obtain the target metrics for future authentication attempts of the user.

Abstract: A method of performing a transaction between a first user of a first input device, and a second user of a second input device, the method includes generating, via the first input device, a transaction request with a with a first effort-based identity token associated with first user, receiving a response with the token and a validation key obtained from a validation server via the second input device based on a second effort-based identity token associated with the second user and a second user effort, providing the second user effort and second effort-based identity token to the validation server, receiving a second effort validation key from the validation server, and sending the transaction with the first user and second user identity-based tokens and first and second effort validation keys to the second person to complete the transaction while ensuring both the first and second users are consistent throughout the transaction.

Abstract: A method of allowing access to an account at a credit processing system, the method includes receiving an unlock access communication from an effort validation server based on user effort provided from a user device to the effort validation server being validated by the validation server and authorizing access to the account in response to the unlock access communication to authorize a transaction by a third-party entity based on a user device transaction with the third-party entity.

Abstract: A method of authenticating a user of a user device, the method includes receiving a user effort-based identity authentication token from a user device, generating a challenge request, receiving an effort validation response, generated by an effort validation server in response to a user performed requested effort, receiving the effort-based identity authentication token, and authenticating the user as a function of the received validation response and the user effort-based identity authentication token.

Abstract: A method of authenticating a user based on user effort, the method includes receiving a registration from a user device with a user effort-based identity authorization token and a first user effort, submitting the first effort to the effort validation server, receiving an effort analysis from the effort validation server, issuing a credential to the user device based on the effort analysis, receiving an access request from the user device, the access request including the credential and a second effort, providing the second effort to the validation server, receiving a validation response from the validation server, and granting access to the user device as a function of the validation response.

Abstract: A method of validating and providing attribution to blockchain transactions, the method includes receiving a transaction request with a representation of user metrics from a user input device, requesting validation from an effort validation server by providing the representation of the metrics to the effort validation server, receiving a metric validation from the metric validation server, and adding the transaction to a blockchain of transactions, the transaction having been validated and including the metric with the transaction in the blockchain such that the transaction is validated and attributed.

Abstract: Disclosed herein are techniques for authenticating a user via gestures, QR codes, and passphrases generated to incorporate typing habits of the user. A passphrase system generates a one-time use passphrase, which incorporates hallmarks and/or quirks of the user's typing, and presents the generated passphrase as an authentication challenge to authenticate as the user. If metrics collected during the authentication challenge are statistically similar to metrics of the user's typing, the authentication succeeds; otherwise, the authentication fails. A user's gesture habits during input of an authentication drawing may be used as a target for future authentication attempts. A user's input motions (typing and/or gestures) may be converted into a secure QR code; a different host device may use the secure QR code to obtain the target metrics for future authentication attempts of the user.

Abstract: A system, method, and computer-readable storage device for receiving data representative of an input sample comprising a user's motion while entering information into a data input device, calculating a statistical summary of the input sample representative data, and comparing, using geometric and geospatial constructs, the calculated statistical summary of the input sample representative data to statistical summaries of representative data of previous input samples in a stored profile of a selected user to generate an indication whether the user is the selected user.

Abstract: A system, method, and computer-readable storage device for receiving data representative of an input sample comprising a user's motion while entering information into a data input device, calculating a statistical summary of the input sample representative data, and comparing, using geometric and geospatial constructs, the calculated statistical summary of the input sample representative data to statistical summaries of representative data of previous input samples in a stored profile of a selected user to generate an indication whether the user is the selected user.

Abstract: A system, method, and computer-readable storage device for receiving data representative of an input sample comprising a user's motion while entering information into a data input device, calculating a statistical summary of the input sample representative data, and comparing, using geometric and geospatial constructs, the calculated statistical summary of the input sample representative data to statistical summaries of representative data of previous input samples in a stored profile of a selected user to generate an indication whether the user is the selected user.