Abstract: A method and system for the identification of a user is provided by collecting a series of user enrollment data from a series of user inputs; calculating a user profile from the series of user enrollment data and additional user data, the additional user data being randomly selected user enrollment data from the series of user enrollment data; comparing a post-training user login to the user profile; updating the user profile with data from the post training user login if the post-training login is consistent with the user profile; repeating the comparing and the updating for each successive post training user login.

Abstract: A system and method are provided for identification of a user collecting enrollment data from the user including dwell times for each of an enrollment series of login attempts; creating an iterative unified identification score for the user from the dwell times of login attempts; establishing an iterative average of identification score; establishing a standard deviation of the iterative identification score; deleting the dwell times and other data of the enrollment series of login attempts; prompting and collecting login specific dwell times; calculating a login identification score; comparing the login identification score to the iterative unified identification score, and updating the iterative scores and the iterative standard deviations and storing between login attempts only an iterative average dwell time, an iterative average flight time, the unified identification score and iterative standard deviation of the unified identification score.

Abstract: A system and method is provided for visual authentication and authorization of a user for mobile touch devices, the system having: a login display on a mobile touch device displaying a visual pattern; a data collection engine whereby touch attributes are obtained from a plurality of user touch events to the mobile touch device with reference to the visual pattern, the touch attributes comprise measured touch attributes and derived touch attributes calculated from the measured touch attributes; an authentication engine whereby the touch attributes are compared to projected user touch attributes derived from user touch attribute values obtained during prior successful logins.

Abstract: User authentication apparatus controlling access to systems, inputs owner's login name and password and then extracts the owner's timing vectors from keystroke characteristics with which the owner forms a training set. A semantic network uses multiple links to indicate that different pattern components of user's behavioral access create different kinds of relationships and “symbolic representations”. A neural network is trained by using each of the owner's timing vectors in the training set as an input. When a user inputs the owner's login name and password, it's checked and the user's timing vector is extracted to type the user's password if checked and demoted in confidence level if otherwise. The user's timing vector is applied to neural network and difference between the input/output is compared with a predetermined threshold; and if the difference is greater than the threshold, is prohibited. Preferably this is aided by response time to personal questions.

Abstract: A method and system for the identification of a user is provided by collecting a series of user enrollment data from a series of user inputs; calculating a user profile from the series of user enrollment data and additional user data, the additional user data being randomly selected user enrollment data from the series of user enrollment data; comparing a post-training user login to the user profile; updating the user profile with data from the post training user login if the post-training login is consistent with the user profile; repeating the comparing and the updating for each successive post training user login.

Abstract: A system and method are provided for identification of a user collecting enrollment data from the user including dwell times for each of an enrollment series of login attempts; creating an iterative unified identification score for the user from the dwell times of login attempts; establishing an iterative average of identification score; establishing a standard deviation of the iterative identification score; deleting the dwell times and other data of the enrollment series of login attempts; prompting and collecting login specific dwell times; calculating a login identification score; comparing the login identification score to the iterative unified identification score, and updating the iterative scores and the iterative standard deviations and storing between login attempts only an iterative average dwell time, an iterative average flight time, the unified identification score and iterative standard deviation of the unified identification score.

Abstract: A method and system for the identification of a user is provided, the system having: an enrollment processor, whereby initial login attempts by the user are measured, and data identifying the user are collected for a specific device and location; the enrollment processor being configured to collect the identifying data and create a first login score, a iterative average login score, and a iterative standard deviation login score; an enrolled login processor, the enrolled login processor being configured to measure dwell time on keys and flight time between keys in a login sequence and to calculate weighted dwell time and weighted flight time from the dwell time and the flight time; a login score calculator, the calculator taking the weighted flight time and the weighted dwell time and generating an actual login score; a login confidence comparator, the login confidence comparator comprising a processor whereby a comparison score is generated as a function of the actual login score, the iterative average login

Abstract: A method and system for the identification of a user is provided, the system having: an enrollment processor, whereby initial login attempts by the user are measured, and data identifying the user are collected for a specific device and location; the enrollment processor being configured to collect the identifying data and create a first login score, a iterative average login score, and a iterative standard deviation login score; an enrolled login processor, the enrolled login processor being configured to measure dwell time on keys and flight time between keys in a login sequence and to calculate weighted dwell time and weighted flight time from the dwell time and the flight time; a login score calculator, the calculator taking the weighted flight time and the weighted dwell time and generating an actual login score; a login confidence comparator, the login confidence comparator comprising a processor whereby a comparison score is generated as a function of the actual login score, the iterative average login