Haag, Manuel2018-08-312018-08-312016510761542http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-100183http://elib.uni-stuttgart.de/handle/11682/10018http://dx.doi.org/10.18419/opus-10001Imagine walking by a cosmetics store and having an advertisement pop up on your smartphone urging you to buy something right on spot. Imagine visiting a friend in a hospital and having a social network sharing your location without your knowledge. Within this work, an Android application was developed to protect your location privacy by detecting out-of-routine events and notifying you dependent on your privacy settings. No online connection or excessive data hoarding is required, it uses a stay location algorithm to determine whereabouts and an instantaneous entropy predictor to calculate an out-of-routine measurement.eninfo:eu-repo/semantics/openAccess004bachelorThesis