Security concepts for a distributed architecture for activity logging and analysis

We describe security concepts for a distributed architecture for activity logging and analysis. The described system collects user and usage data from multiple devices (PC and mobile). Such data is used to create open learner models for reflection on and improvement of time management. Additionally, such data is the basis for adaptation of notification mechanisms. We propose concepts for secure local storage of collected data, network communication and user authentication, and secure data storage and processing on the server side. We only touch partially on security concepts for client services and applications. The proposed concept is thus applicable for all systems with distributed activity logging and server-based analysis components.