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How much privacy do “Privacy Zones” provide?

In this post, I gave an overview of different privacy-enhancing techniques for mobility data. This post is the first to deep-dive into single specific techniques by looking into privacy zones. Social-network sports apps like Strava are used to track and share personal sporting performances, including pictures and GPS traces. This has led to undesired events: […]

Attack scenarios – how adversaries retrieve sensitive information

Attack scenarios are used in privacy research to describe how an adversary potentially obtains sensitive information about a person. Such a scenario entails assumptions on side information available to an adversary, which sensitive information the adversary wants to retrieve, and how they use the side information to retrieve the sensitive information. Such scenarios are used […]

How is mobility data sensitive information?

Political opinions, religious beliefs, sexual orientation, or health issues are typical examples of obvious sensitive information in the need of data protection. While human mobility data is also personal data, it is inherently complex and thus there are different aspects that can be considered sensitive. Is only the information about a person’s home and their […]

Privacy-preserving techniques and how they apply to mobility data

What does it actually mean to “anonymize” data? With this blog post, I want to give an overview of different established methods and how they apply to mobility data. (The survey of Fiore et al., 2020 has been a major source for this overview). First of all, it should be noted, that there is a […]

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