Method and system for providing authentication through aggregate analysis of behavioral and time patterns
First Claim
1. A system for evaluating identification of a user based on behavioral patterns and time patterns, the system comprising:
- an analysis component for analyzing;
an authentication component for authenticating the analyzed data; and
a behavioral biometric device for collecting behavioral biometric data comprising textual style characteristics of raw streams of text generated by the user, the behavioral biometric data related to the user, wherein an identification of the user is not known, the authentication component and the analysis component operably connected at least with the behavioral biometric device;
wherein the behavioral biometric data is matched against previously obtained or expected behavioral biometric data stored in a first database component of the analysis component in order to determine an identification of the user, and to progressively, continuously, and incrementally evaluate the trustworthiness of the user to determine a confidence factor, the trustworthiness corresponding to confidence in the identification of the user,wherein one or more application features or resources has different security classification levels, each security classification level associated with a level of access to the one or more application features or application resources,wherein the level of access to one or more application features or application resources for the user is matched to the determined confidence factor,wherein the confidence factor is progressively, continuously, and incrementally increased or decreased based on a timing pattern received from the behavioral biometric device corresponding to a habitual activity of the user; and
wherein the level of access to the one or more application features or application resources for the user is dynamically increased or decreased responsive to the determined confidence factor.
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Accused Products
Abstract
A method and a system for evaluating identification of a user based on behavioral patterns and time patterns, including an analysis component for analyzing data; an authentication component for authenticating the analyzed data; and a behavioral biometric device for collecting behavioral biometric data related to the user, the authentication component and the analysis component operably connected at least with the behavioral biometric device; wherein the behavioral biometric data is matched against previously obtained or expected behavioral biometric data stored in a first database component of the analysis component in order to progressively, continuously, and incrementally evaluate the identification of the user to determine a confidence factor.
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Citations
23 Claims
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1. A system for evaluating identification of a user based on behavioral patterns and time patterns, the system comprising:
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an analysis component for analyzing; an authentication component for authenticating the analyzed data; and a behavioral biometric device for collecting behavioral biometric data comprising textual style characteristics of raw streams of text generated by the user, the behavioral biometric data related to the user, wherein an identification of the user is not known, the authentication component and the analysis component operably connected at least with the behavioral biometric device; wherein the behavioral biometric data is matched against previously obtained or expected behavioral biometric data stored in a first database component of the analysis component in order to determine an identification of the user, and to progressively, continuously, and incrementally evaluate the trustworthiness of the user to determine a confidence factor, the trustworthiness corresponding to confidence in the identification of the user, wherein one or more application features or resources has different security classification levels, each security classification level associated with a level of access to the one or more application features or application resources, wherein the level of access to one or more application features or application resources for the user is matched to the determined confidence factor, wherein the confidence factor is progressively, continuously, and incrementally increased or decreased based on a timing pattern received from the behavioral biometric device corresponding to a habitual activity of the user; and wherein the level of access to the one or more application features or application resources for the user is dynamically increased or decreased responsive to the determined confidence factor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A method for evaluating identification of a user based on behavioral patterns and time patterns, the method comprising the steps of:
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analyzing data; authenticating the analyzed data; and collecting behavioral biometric data comprising textual style characteristics of raw streams of text generated by the user, the behavioral biometric data related to the user, wherein an identification of the user is not known; wherein the behavioral biometric data is matched against previously obtained or expected behavioral biometric data in order to determine an identification of the user and to progressively, continuously, and incrementally evaluate the trustworthiness of the user to determine a confidence factor, the trustworthiness corresponding to confidence in the identification of the user, wherein one or more application features or application resources has different security classification levels, each security classification level associated with a level of access to the one or more application features or application resources, wherein the level of access to one or more application features or application resources for the user is matched to the determined confidence factor, wherein the confidence factor is progressively, continuously, and incrementally increased or decreased based on a timing pattern received from the behavioral biometric device corresponding to a habitual activity of the user, and wherein the level of access to the one or more application features or application resources for the user is dynamically increased or decreased responsive to the determined confidence factor. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22)
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23. A computer program product comprising a non-transitory recording medium storing a set of programmable instructions configured for execution by at least one processor for evaluating identification of a user based on behavioral patterns and time patterns, which when executed by the at least one processor, causes the processor to perform the steps of:
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analyzing data; authenticating the analyzed data; and collecting behavioral biometric data comprising textual style characteristics of raw streams of text generated by the user, the behavioral biometric data related to the user, wherein an identification of the user is not known; wherein the behavioral biometric data is matched against previously obtained or expected behavioral biometric data in order to determine an identification of the user and to progressively, continuously, and incrementally evaluate the trustworthiness of the user to determine a confidence factor, the trustworthiness corresponding to confidence in the identification of the user, wherein one or more application features has different security classification levels, each security classification level associated with a level of access to the one or more application features, wherein the level of access to one or more application features for the user is matched to the determined confidence factor, and wherein the level of access to the one or more application features for the user is dynamically increased or decreased responsive to the determined confidence factor.
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Specification