Abstract: Methods and a unique session identifier token are disclosed for using in-band and optionally out-of-band protocols to authenticate a session are disclosed. The system to produce a probability the mobile device is in possession of a known person and the use of the unique session identifier token are used to prevent attacks by replay. In some embodiments, out-of-band protocols as well as use of entangled pairs eliminate the possibility of man-in-the middle pirating of an authentication session. A unique user-initiated session reduces authentication to a single message unit transaction from a mobile device to a relying party, securely affirming the user's identity and the user's intent to authenticate.

Abstract: Within a mobile device, a method and system to produce a probability the mobile device is in possession of a known person, the first user. Sensors are used to detect and quantify the behavioral biometrics of the human traits of the person in possession of the device. On a continuous basis, a machine learning process collects the biometrics of several traits of the first user memorizing the artifacts of neural networks used for learning. Subsequently, a prediction neural network provisioned with these artifacts and processing new biometric inputs of the present user of the device produces a probability the present user of the device is the first user. Affirmation of identity can then be made based on that probability.

Abstract: Within a mobile device, a method and system to produce a probability the mobile device is in possession of a known person, the first user. Sensors are used to detect and quantify the behavioral biometrics of the human traits of the person in possession of the device. On a continuous basis, a machine learning process collects the biometrics of several traits of the first user memorizing the artifacts of neural networks used for learning. Subsequently, a prediction neural network provisioned with these artifacts and processing new biometric inputs of the present user of the device produces a probability the present user of the device is the first user. Affirmation of identity can then be made based on that probability.

Abstract: A method and system determines a probability that a mobile device is in use by a first user. Sensors are used to detect and quantify human activity and habitual, behavior or emotional traits. A collection of such human trait values identifying a first user of the device are memorized during a learning period. During subsequent usage, a new collection of like human trait values of the current user of the device are captured and compared with the memorized values of the first user of the device relative to time, producing a probability that the person in possession of the mobile device is the first user of the device. In some embodiments, a probability of the device being possessed by the first user is sent to a remote system along with a spoken utterances, where the remote system uses the probability to recognize identity of the speaker.

Abstract: A method and system determines a probability that a mobile device is in use by a first user. Sensors of a mobile device are used to detect and quantify human activity and habitual or behavior traits. A collection of such habitual human trait values identifying a first user of the device are memorized during a training and learning period. During subsequent periodic predictive periods, a new collection of like habitual trait values of the current user of the device, when captured and compared with memorized values of the first user of the device relative to time, uniquely identify the person in possession of the mobile device as being or not being the first user of the device. By associating this knowledge with a unique device known to be assigned to the first user of the device, it becomes possible to confirm identity without risk of impersonation.

Abstract: A method and system determines a probability that a mobile device is in use by a first user. Sensors of a mobile device are used to detect and quantify human activity and habitual or behavior traits. A collection of such habitual human trait values identifying a first user of the device are memorized during a training and learning period. During subsequent periodic predictive periods, a new collection of like habitual trait values of the current user of the device, when captured and compared with memorized values of the first user of the device relative to time, uniquely identify the person in possession of the mobile device as being or not being the first user of the device. By associating this knowledge with a unique device known to be assigned to the first user of the device, it becomes possible to confirm identity without risk of impersonation.

Abstract: A method and system determines a probability that a mobile device is in use by a first user. Sensors of a mobile device are used to detect and quantify human activity and habitual or behavior traits. A collection of such habitual human trait values identifying a first user of the device are memorized during a training and learning period. During subsequent periodic predictive periods, a new collection of like habitual trait values of the current user of the device, when captured and compared with memorized values of the first user of the device relative to time, uniquely identify the person in possession of the mobile device as being or not being the first user of the device. By associating this knowledge with a unique device known to be assigned to the first user of the device, it becomes possible to confirm identity without risk of impersonation.

Abstract: A method and system determines a probability that a mobile device is in use by a first user. Sensors of a mobile device are used to detect and quantify human activity and habitual or behavior traits. A collection of such habitual human trait values identifying a first user of the device are memorized during a training and learning period. During subsequent periodic predictive periods, a new collection of like habitual trait values of the current user of the device, when captured and compared with memorized values of the first user of the device relative to time, uniquely identify the person in possession of the mobile device as being or not being the first user of the device. By associating this knowledge with a unique device known to be assigned to the first user of the device, it becomes possible to confirm identity without risk of impersonation.