Abstract: Embodiments of the present disclosure provide a method and system for protecting privacy by generating artificial contextual data. The system collects real contextual data related to a user. The system then generates artificial contextual data, based on the collected real contextual data. The system also groups the generated contextual data into one or more groups. Each group of contextual data corresponds to a persona that can be presented as the user's persona. Subsequently, the system transmits the generated contextual data to an entity, thereby allowing the user to obscure the real contextual data related to the user.

Abstract: Embodiments of the present disclosure provide a method and system for implicitly authenticating a user to access controlled resources. The system receives a request to access the controlled resources. The system then determines a user behavior score based on a user behavior model, and recent contextual data about the user. The user behavior score facilitates identifying a level of consistency between one or more recent user events and a past user behavior pattern. The recent contextual data, which comprise a plurality of data streams, are collected from one or more user devices without prompting the user to perform an action explicitly associated with authentication. The plurality of data streams provide basis for determining the user behavior score, but a data stream alone provides insufficient basis for the determination of the user behavior score. The system also provides the user behavior score to an access controller of the controlled resource.