Privacy Matter - Health-Related Location-Based Services

Due to the fast development of new information and communication technologies and with them the digital collection of huge amounts of personal data, the privacy aspects of collecting and disclosing these data often get neglected. This problem is critical especially in the area of personal health-related data, where in the past data of or about people either got lost or even sold. The distribution of data that can be related to a person’s identity and her health history can lead to further critical issues, e.g. in terms of job search or getting stigmatized. In the area of location-based services for health-related mobile or Web applications, people often provide private information without knowing where, why and how this data is stored, and if this data will be redistributed or reused (and to whom), e.g. when using fitness tracker apps or being a monitored patient. This paper presents a state-ofthe-art solution approach for a software framework that enhances the privacy of users of health-related location-based mobile applications. The focus is set on the user side of such systems and is based on a user-centric design methodology. Thus, the first prototype for a so called Privacy Cockpit is discussed mainly addressing the aspects of control, transparency and retraceability of privacy settings and implications.