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2023 | OriginalPaper | Chapter

Privacy Preserving Queries of Shortest Path Distances

Authors : Ernst Althaus, Stefan Funke, Moritz Schrauth

Published in: Algorithmic Aspects of Cloud Computing

Publisher: Springer International Publishing

Abstract

Consider a user with a very limited hardware and internet connection who wants to query a shortest path distance from a web service, but doesn’t want to reveal the source and destination to the server. Using state-of-the-art methods, we show that we can privately query shortest path distances in this case, if we are allowed to use three non-cooperating servers of moderate compute and communication power. We argue that this is not possible with classical shortest path algorithms. Finally, we give some experiments showing the feasibility of the approach.

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Literature
4.
go back to reference Anagreh, M., Laud, P., Vainikko, E.: Privacy-preserving parallel computation of shortest path algorithms with low round complexity. In: Mori, P., Lenzini, G., Furnell, S. (eds.) Proceedings of the 8th International Conference on Information Systems Security and Privacy, ICISSP 2022, Online Streaming, February 9–11, 2022, pp. 37–47. SCITEPRESS (2022). https://​doi.​org/​10.​5220/​0010775700003120​ Anagreh, M., Laud, P., Vainikko, E.: Privacy-preserving parallel computation of shortest path algorithms with low round complexity. In: Mori, P., Lenzini, G., Furnell, S. (eds.) Proceedings of the 8th International Conference on Information Systems Security and Privacy, ICISSP 2022, Online Streaming, February 9–11, 2022, pp. 37–47. SCITEPRESS (2022). https://​doi.​org/​10.​5220/​0010775700003120​
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Metadata
Title
Privacy Preserving Queries of Shortest Path Distances
Authors
Ernst Althaus
Stefan Funke
Moritz Schrauth
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-33437-5_6