Abstract: A system and method to authenticate users on a computing system using a free text behavioral biometric method by recording on the computer system a dataset for each user to be authenticated to create a user profile for each user to be authenticated, each data set comprising a plurality of free-text keystrokes entered by a respective user on a computer that is part of the computing system, and storing each user profile in the memory, subsequently collecting the keystrokes of a user to be authenticated as the user enters text on a keyboard connected to the computing system, creating a plurality of graphs based on the collection of keystrokes entered by the user and calculating n instance based tail area density (ITAD) metric, and then combining the ITAD metric for each graph duration into a single similarity score.

Abstract: The present invention discloses a signal anti-noise-based indoor localization method and system. The method includes receiving a signal and a data packet broadcast by a signal base station laid indoors; determining a noisy distance from the signal base station to a to-be-localized terminal according to an RSSI value from the signal base station to the to-be-localized terminal; and localizing the to-be-localized terminal by using an indoor localization algorithm according to a distance value from the to-be-localized terminal to different signal base stations, a noisy distance from different signal base stations to the to-be-localized terminal, and location information of the signal base station laid indoors. The present invention can improve the noise resistance and accuracy of indoor localization.

Abstract: A system and method to authenticate users on a computing system using a free text behavioral biometric method by recording on the computer system a dataset for each user to be authenticated to create a user profile for each user to be authenticated, each data set comprising a plurality of free-text keystrokes entered by a respective user on a computer that is part of the computing system, and storing each user profile in the memory, subsequently collecting the keystrokes of a user to be authenticated as the user enters text on a keyboard connected to the computing system, creating a plurality of graphs based on the collection of keystrokes entered by the user and calculating n instance based tail area density (ITAD) metric, and then combining the ITAD metric for each graph duration into a single similarity score.

Abstract: A method for localization of a target device within an environment, the method comprising the steps of: (i) receiving, by a target device, a plurality of wireless signals transmitted from one or more anchor devices within the environment; (ii) determining, by a target device, a received signal strength indication for at least some of the received plurality of wireless signals; (iii) estimating, based on the determined received signal strength indications, a distance from the target device to each of the one or more anchor devices from which a wireless signal was received; and (iv) estimating, based on the estimated distances, a location of the target device within the environment.

Abstract: A method for localization of a target device within an environment, the method comprising the steps of: (i) receiving, by a target device, a plurality of wireless signals transmitted from one or more anchor devices within the environment; (ii) determining, by a target device, a received signal strength indication for at least some of the received plurality of wireless signals; (iii) estimating, based on the determined received signal strength indications, a distance from the target device to each of the one or more anchor devices from which a wireless signal was received; and (iv) estimating, based on the estimated distances, a location of the target device within the environment.