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De-anonymization attack on geolocated data

  • Published:2014-12 Issue:8 Volume:80 Page:1597-1614
  • ISSN:0022-0000
  • Container-title:Journal of Computer and System Sciences
  • language:en
  • Short-container-title:Journal of Computer and System Sciences

Author:

Gambs Sébastien,Killijian Marc-Olivier,Núñez del Prado Cortez Miguel

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Networks and Communications,Theoretical Computer Science

Reference38 articles.

1. Data collection campaign;Kiukkonen,2009

2. Geolife: a collaborative social networking service among user, location and trajectory;Zheng;IEEE Data Eng. Bull.,2010

3. Beyond San Francisco cabs: building a ⁎-lity mining dataset;Killijian,2010

4. Inference attacks on location tracks;Krumm,2007

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2. Where Have You Been? A Study of Privacy Risk for Point-of-Interest Recommendation;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

3. Anonymization: The imperfect science of using data while preserving privacy;Science Advances;2024-07-19

4. Design and Use of Privacy Capture-the-Flag Challenges in an Introductory Class on Information Privacy and Security;Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1;2024-07-03

5. De-anonymisation of real-world location traces: two attacks based on the hidden Markov model;Journal of Location Based Services;2024-07-02
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