Trajectory Hiding and Sharing for Supply Chains with Differential Privacy

Tianyu Li*, Li Xu, Zekeriya Erkin, Reginald L. Lagendijk

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review


With the fast development of e-commerce, there is a higher demand for timely delivery. Logistic companies want to send receivers a more accurate arrival prediction to improve customer satisfaction and lower customer retention costs. One approach is to share (near) real-time location data with recipients, but this also introduces privacy and security issues such as malicious tracking and theft. In this paper, we propose a privacy-preserving real-time location sharing system including (1) a differential privacy based location publishing method and (2) location sharing protocols for both centralized and decentralized platforms. Different from existing location perturbation solutions which only consider privacy in theory, our location publishing method is based on a real map and different privacy levels for recipients. Our analyses and proofs show that the proposed location publishing method provides better privacy protection than existing works under real maps against possible attacks. We also provide a detailed analysis of the choice of the privacy parameter and their impact on the suggested noisy location outputs. The experimental results demonstrate that our proposed method is feasible for both centralized and decentralized systems and can provide more precise arrival prediction than using time slots in current delivery systems.

Original languageEnglish
Title of host publicationComputer Security – ESORICS 2023 - 28th European Symposium on Research in Computer Security, The Hague, The Netherlands, September 25–29, 2023, Proceedings
EditorsGene Tsudik, Mauro Conti, Kaitai Liang, Georgios Smaragdakis
Number of pages21
ISBN (Print)9783031514753
Publication statusPublished - 2024
Event28th European Symposium on Research in Computer Security, ESORICS 2023 - The Hague, Netherlands
Duration: 25 Sept 202329 Sept 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14345 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference28th European Symposium on Research in Computer Security, ESORICS 2023
CityThe Hague

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Applied cryptography
  • Blockchain
  • Differential privacy
  • Location privacy
  • Privacy-preserving


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