A new Nature Communications paper by Ana-Maria Crețu, Federico Monti, Stefano Marrone, Xiaowen Dong, Michael Bronstein, and Yves-Alexandre de Montjoye reveals that data about people’s interactions can be used to identify individuals in anonymous datasets. The paper shows that the learned profiles are stable and that people’s behavior is still identifiable over a long period of time. The results provide strong evidence that disconnected and even re-pseudonymized interaction data can be linked together making them personal data under the European Union’s General Data Protection Regulation (GDPR).
New paper “Interaction data are identifiable even across long periods of time” published in Nature Communications
Ana-Maria Cretu, Stefano Marrone and Yves-Alexandre de Montjoye