Abstract: A system and method for secure authentication of user entity and user entity device identity. The system and method described herein allows an identity to be continuously proven because of user entity's behavior and their biometrics. With all the fraud and risk that exists today, if someone has a user entity's driver's license they can do a lot of harm. A primary identity provider passes user contextual and behavioral information to third party secondary identity providers to allow risk based continuous authentication and step up post-authorization authentication or termination of session as required upon detection of an anomaly.

Abstract: Aspects of the disclosure provide techniques for using egocentric and allocentric information for providing and restricting access to a secure network and its assets to a user entity. The system may include capturing user habits and fingerprinting with ability to detect abnormalities through artificial intelligence/machine learning (AIML) using mobile and wearable device applications.

Abstract: A system and method for rapid check-in and inheriting trust using a user entity device. The system and method described herein allows an identity to be continuously proven because of user entity's behavior and their biometrics. With all the fraud and risk that exists today, if someone has a user entity's driver's license they can do a lot of harm. By tying a user entity's identity to their user entity device (e.g., a mobile smartphone), then when a user entity checks into a location (e.g., airport, hotel, bank), an identity provider continues a process of continuous authentication while the user entity device travels about a location and interacts with the services offered by the location.

Abstract: The system and method disclosed performs entity authentication through identification proofing. A relying party such as a corporation or other type of entity having a secure website, computer network and secure facility working a risk engine can determine the authenticity, validation and verification during registration of a user entity. The identification proofing is integrated with a risk engine. The risk engine is capable of using bio-behavior based information which may be continuously monitored.

Abstract: A system and method for secure authentication of user entity and user entity device identity. The system and method described herein allows an identity to be continuously proven because of user entity's behavior and their biometrics. With all the fraud and risk that exists today, if someone has a user entity's driver's license they can do a lot of harm. A primary identity provider passes user contextual and behavioral information to third party secondary identity providers to allow risk based continuous authentication and step up post-authorization authentication or termination of session as required upon detection of an anomaly.

Abstract: An embodiment includes at least one computer readable storage medium comprising instructions that when executed enable a system to: receive (a)(i) first radio signal location data for a first object from a radio sensor; and (a)(ii) first visual signal location data for the first object from a camera sensor; perform feature extraction on (b)(i) the first radio signal location data to determine first extracted radio signal features; and (b)(ii) the first visual signal location data to determine first extracted visual signal features; solve a first association problem between the first extracted radio signal features and the first extracted visual signal features to determine first fused location data; and store the first fused location data in the at least one computer readable storage medium. Other embodiments are described herein.

Abstract: Aspects of the disclosure provide techniques for using behavior based information for providing and restricting access to a secure website, or computer network and its assets to a user. Components of the system may include the following. Client remote computing device, network and browser unique attribute data collection and fingerprinting. Method for capturing user habits and fingerprinting with ability to detect abnormalities through AIML using mobile and wearable device applications. System for detection of normality of user behavior based on habits, and cyber transactions, device access and determining a confidence score associated with each transaction. Method for calculating individual transaction risk based on contextual factors such as user behavior, device, browser and the network traffic and request for authentication by account owner when risk greater than allowed threshold.

Abstract: Embodiments detailed herein include, but are not limited to, a hardware processor to execute instructions and security circuitry to perform pre-boot operations including signature verification of a portion of firmware in a firmware storage hardware and initiating recovery upon a signature verification failure. The hardware processor comprises a plurality of cores in some embodiments. The hardware processor a multicore processor in some embodiments.

Abstract: A system and method for biobehavioral identification may include a user device, a secure system/client device, and a server. The elements of the system work together to monitor the biologic features (e.g., fingerprints, pupils, or the like) and behavior (e.g., wake time, exercise time, location) to verify the authenticity of a user requesting access to a database and/or secure facility.

Abstract: The system and method disclosed performs entity authentication through identification proofing. A relying party such as a corporation or other type of entity having a secure website, computer network and secure facility working a risk engine can determine the authenticity, validation and verification during registration of a user entity. The identification proofing is integrated with a risk engine. The risk engine is capable of using bio-behavior based information which may be continuously monitored.

Abstract: A system and method for rapid check-in and inheriting trust using a user entity device. The system and method described herein allows an identity to be continuously proven because of user entity's behavior and their biometrics. With all the fraud and risk that exists today, if someone has a user entity's driver's license they can do a lot of harm. By tying a user entity's identity to their user entity device (e.g., a mobile smartphone), then when a user entity checks into a location (e.g., airport, hotel, bank), an identity provider continues a process of continuous authentication while the user entity device travels about a location and interacts with the services offered by the location.

Abstract: A system and method for biobehavorial identification may include a user device, a secure system/client device, and a server. The elements of the system work together to monitor the biologic features (e.g., fingerprints, pupils, or the like) and behavior (e.g., wake time, exercise time, location) to verify the authenticity of a user requesting access to a database and/or secure facility.

Abstract: A system and method for biobehavorial identification may include a user device, a secure system/client device, and a server. The elements of the system work together to monitor the biologic features (e.g., fingerprints, pupils, or the like) and behavior (e.g., wake time, exercise time, location) to verify the authenticity of a user requesting access to a database and/or secure facility.

Abstract: A system and method for secure authentication of user entity and user entity device identity. The system and method described herein allows an identity to be continuously proven because of user entity's behavior and their biometrics. With all the fraud and risk that exists today, if someone has a user entity's driver's license they can do a lot of harm. By tying a user entity's identity to their user entity device (e.g., a mobile smartphone), then when a user entity enters a location (e.g., airport, hotel, bank), the user entity device announces through a wireless “I Am Here” signal which starts a process of continuous authentication while the user entity device interacts with the services offered by the location.

Abstract: An embodiment includes at least one computer readable storage medium comprising instructions that when executed enable a system to: receive (a)(i) first radio signal location data for a first object from a radio sensor; and (a)(ii) first visual signal location data for the first object from a camera sensor; perform feature extraction on (b)(i) the first radio signal location data to determine first extracted radio signal features; and (b)(ii) the first visual signal location data to determine first extracted visual signal features; solve a first association problem between the first extracted radio signal features and the first extracted visual signal features to determine first fused location data; and store the first fused location data in the at least one computer readable storage medium. Other embodiments are described herein.

Abstract: Aspects of the disclosure provide techniques for using behavior based information for providing and restricting access to a secure website, or computer network and its assets to a user. Components of the system may include the following. Client remote computing device, network and browser unique attribute data collection and fingerprinting. Method for capturing user habits and fingerprinting with ability to detect abnormalities through AIML using mobile and wearable device applications. System for detection of normality of user behavior based on habits, and cyber transactions, device access and determining a confidence score associated with each transaction. Method for calculating individual transaction risk based on contextual factors such as user behavior, device, browser and the network traffic and request for authentication by account owner when risk greater than allowed threshold.

Abstract: A system and method for secure authentication of user entity and user entity device identity. The system and method described herein allows an identity to be continuously proven because of user entity's behavior and their biometrics. With all the fraud and risk that exists today, if someone has a user entity's driver's license they can do a lot of harm. A primary identity provider receives user contextual and behavioral information from third party secondary identity providers to allow risk based continuous authentication and step up post-authorization authentication or termination of session as required upon detection of an anomaly by third party identity provider.

Abstract: A system and method for secure authentication of user entity and user entity device identity. The system and method described herein allows an identity to be continuously proven because of user entity's behavior and their biometrics. With all the fraud and risk that exists today, if someone has a user entity's driver's license they can do a lot of harm. By tying a user entity's identity to their user entity device (e.g., a mobile smartphone), then when a user entity enters a location (e.g., airport, hotel, bank), the user entity device announces through a wireless “I Am Here” signal which starts a process of continuous authentication while the user entity device interacts with the services offered by the location.

Abstract: Aspects of the disclosure provide techniques for using egocentric and allocentric information for providing and restricting access to a secure network and its assets to a user entity. The system may include capturing user habits and fingerprinting with ability to detect abnormalities through artificial intelligence/machine learning (AIML) using mobile and wearable device applications.

Abstract: An embodiment includes at least one computer readable storage medium comprising instructions that when executed enable a system to: receive (a)(i) first radio signal location data for a first object from a radio sensor; and (a)(ii) first visual signal location data for the first object from a camera sensor; perform feature extraction on (b)(i) the first radio signal location data to determine first extracted radio signal features; and (b)(ii) the first visual signal location data to determine first extracted visual signal features; solve a first association problem between the first extracted radio signal features and the first extracted visual signal features to determine first fused location data; and store the first fused location data in the at least one computer readable storage medium. Other embodiments are described herein.