Anonymous Routing Using Minimum Capacity Clustering (Short Paper)

Authors Maike Buchin, Lukas Plätz



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Author Details

Maike Buchin
  • Ruhr University Bochum, Germany
Lukas Plätz
  • Ruhr University Bochum, Germany

Cite AsGet BibTex

Maike Buchin and Lukas Plätz. Anonymous Routing Using Minimum Capacity Clustering (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 18:1-18:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/LIPIcs.GIScience.2023.18

Abstract

We present a framework which allows one to use an online routing service and get live updates without revealing the sensitive starting and ending points of one’s route. For that, we obfuscate the starting and ending locations in minimum capacity clusters and reveal only the route between these clusters. We compare different anonymous clustering strategies on positions in the network with efficient approximations and analyse the impact of the anonymisation on the route. We experimentally evaluate the effect of the anonymisation scheme in real-world settings.

Subject Classification

ACM Subject Classification
  • Security and privacy → Pseudonymity, anonymity and untraceability
Keywords
  • Anonymity
  • approximation Algorithms
  • directed Networks
  • minimum capacity Clustering
  • Privacy

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References

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