Sensors, portable devices, and location based services, generate massive amounts of geo-tagged, and/or location- and user-related data on a daily basis.
Such data are useful in numerous application domains from healthcare to intelligent buildings and from crowdsourced data collection to traffic monitoring.
A lot of these data are referring to activities and carrying information of individuals and thus, their manipulation and sharing inevitably arise concerns about the privacy of the individuals involved.
To address this problem, researchers have already proposed various seminal techniques for the protection of users' privacy.
However, the continual fashion in which data are generated nowadays, and the high availability of external sources of information, pose more threats and add extra challenges to the problem.
% In this thesis, we are concerned with and present the work done on data privacy in support of continuous data publication, and report on the proposed solutions, with a special focus on solutions concerning location or georeferenced data.
