Next It Corporation

Identity Metrics, Inc.

Robert Michael Hust

Mark Zartler

Herbert Lewis Alward

Timothy Erickson Meehan

James Joseph Straub, Iii

Michael Patrick Schmidt

Erik Watson Hutchinson

Norman Carr

This invention discloses a system for determining whether a purported or alleged authorized user is in fact the authorized user, by comparing new data on a real-time basis against probability distribution representations including an authorized user probability distribution representation and a global or wide population probability distribution representation, to provide a probability as to whether the purported authorized user is the authorized user. This invention may utilize keyboard dynamics or data, or X-Y device data, or other data from similar measurable characteristics, to determine the probability that the new data from the purported authorized user indicates or identifies that user as the authorized user. This invention identifies the user continuously as the user interacts with the system and to identify a change in situation in the environment of the user. This invention provides a means to identify an anonymous user by matching the continuous recorded behaviormetrics or a characteristic of the anonymous user with the behaviormetrics of known users.

Continuous user identification and situation analysis with identification of anonymous users through behaviormetrics

A system and related method are provided for user authentication and dynamic usability of touch-screen devices. The system utilizes probability distribution representations including an authorized user probability distribution representation and a global or wide population probability distribution representation, to associate the purported authorized user to the authorized user. Touch dynamics or data, or other data from similar measurable characteristics, can be utilized to associate the purported authorized user and the authorized user and to determine optimal positions and sizes for user interface components.

System and method for user authentication and dynamic usability of touch-screen devices

Various embodiments provide a state-based, regular expression parser in which data, such as generally unstructured text, is received into the system and undergoes a tokenization process which permits structure to be imparted to the data. Tokenization of the data effectively enables various patterns in the data to be identified. In some embodiments, one or more components can utilize stimulus/response paradigms to recognize and react to patterns in the data.

Data disambiguation systems and methods

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Hayden, ID, United States of America

Robert Michael Hust