Thoughts on mobility data and privacy.
In 2021 I started working on my dissertation about privacy-preserving analytics of human mobility data. With this blog, I want to share interesting insights and useful implementations concerning mobility data and its privacy that I encounter along the way. I’m always happy about feedback, comments, or questions!
Recent blog posts
Publication of Disseration
I am happy to announce that I finished and published my dissertation! Privacy-Preserving Analytics of Human Mobility Data – Investigating the Gap between State-Of-The-Art Privacy Methods and Real-Life Utility Requirements Abstract:In recent years, human mobility data has been increasingly collected and stored, mainly due to the ubiquitous use of smartphones, producing a constant stream of…
Keep readingAnimierte Webseite zur Veranschaulichung von Re-Identifizierungsrisiken von Mobilitätsdaten
Wie leicht kann eine Person in einem vermeintlich anonymisierten Datensatz identifiziert werden? Spoiler: ziemlich leicht. Wir haben das an einem echten Datensatz durchgespielt und zeigen, wie wir einen Kollegen mit wenigen Klicks in unserem Datensatz finden konnten. Das Ergebnis ist schön visualisiert hier sehen: https://reidentifikation.freemove.space/ Außerdem zeigen wir, wie der Grad der Anonymisierung berechnet werden…
Keep readingPublication – Reconsidering Utility: Unveiling the Limitations of Synthetic Mobility Data Generation Algorithms in Real-Life Scenarios
We investigated the utility of five models that create synthetic urban mobility data from raw privacy-sensitive data. Tl;dr: synthetic trips do not provide the expected high flexibility and utility and should be used with care. https://dl.acm.org/doi/10.1145/3589132.3625661 Why synthetic data? Human movement data is highly sensitive, however, data sharing is desirable for many use cases, including…
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Alexandra Kapp 