Communication Dans Un Congrès Année : 2025

The Silent Signature: Behavior-based User Exposure in Mobility Data

Résumé

Mobility is a fundamental aspect of human life, and mobility data offers valuable insights into user behavior. Yet, this data also exposes users to privacy risks given pattern unicity in their trajectories, i.e., the singularity in the displacements made by users. Existing strategies to quantify such user exposure either focus only on the sequences of places visited by each user, as the widely used uniqueness measure, or are tied to specific attack models. We here introduce MoBES, a novel, scalable, customizable and highly interpretable measure of user exposure in mobility data. MoBES leverages multiple existing metrics to build a multi-dimensional space, which in turn is used to capture each user's mobility signature behavior. MoBES quantifies user exposure based on how distinct a user's signature is from her neighbors in the defined metric space. As such, MoBES is designed to be a fundamental expression of user behavior, and not tied to any specific attack model. We evaluate MoBES on a real mobility dataset, showing that it effectively captures user exposure within the behavioral metric space. We also compare MoBES with the uniqueness measure, showing that MoBES is able to uncover users who, even though visiting the same places as others in the crowd, are still at risk of exposure due to the unicity of their mobility behavior.

Fichier principal
Vignette du fichier
_IEEE_MDM____MoBES___Camera_Ready (1).pdf (3.17 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence

Dates et versions

hal-05057826 , version 1 (06-05-2025)

Licence

Identifiants

Citer

Lucas G S Félix, Anne Josiane Kouam, Aline Carneiro Viana, Nadjib Achir, Jussara M Almeida. The Silent Signature: Behavior-based User Exposure in Mobility Data. MDM 2025 - 26th IEEE International Conference on Mobile Data Management, IEEE, Jun 2025, Irvine (CA), United States. ⟨10.1109/MDM65600.2025.00044⟩. ⟨hal-05057826⟩
215 Consultations
349 Téléchargements

Altmetric

Partager

  • More