Privacy Preserving Data Analysis with the Encode, Shuffle, Analyse Architecture in Vehicular Data Sharing

Author:

Löbner Sascha1ORCID,Gartner Christian2ORCID,Tronnier Frédéric1ORCID

Affiliation:

1. Chair of Mobile Business and Multilateral Security, Goethe University, Germany

2. Goethe University, Germany

Publisher

ACM

Reference25 articles.

1. Miguel  E. Andrés , Nicolás  E. Bordenabe , Konstantinos Chatzikokolakis , and Catuscia Palamidessi . 2013 . Geo-indistinguishability: Differential privacy for location-based systems . In Proceedings of the ACM Conference on Computer and Communications Security. arxiv:1212 .1984 Miguel E. Andrés, Nicolás E. Bordenabe, Konstantinos Chatzikokolakis, and Catuscia Palamidessi. 2013. Geo-indistinguishability: Differential privacy for location-based systems. In Proceedings of the ACM Conference on Computer and Communications Security. arxiv:1212.1984

2. Privacy preserving and data publication for vehicular trajectories with differential privacy

3. Andrea Bittau , Úlfar Erlingsson , Petros Maniatis , Ilya Mironov , Ananth Raghunathan , David Lie , Mitch Rudominer , Ushasree Kode , Julien Tinnes , and Bernhard Seefeld . 2017 . PROCHLO: Strong Privacy for Analytics in the Crowd. In SOSP 2017 - Proceedings of the 26th ACM Symposium on Operating Systems Principles. Association for Computing Machinery , New York, NY, USA. arxiv:1710.00901 Andrea Bittau, Úlfar Erlingsson, Petros Maniatis, Ilya Mironov, Ananth Raghunathan, David Lie, Mitch Rudominer, Ushasree Kode, Julien Tinnes, and Bernhard Seefeld. 2017. PROCHLO: Strong Privacy for Analytics in the Crowd. In SOSP 2017 - Proceedings of the 26th ACM Symposium on Operating Systems Principles. Association for Computing Machinery, New York, NY, USA. arxiv:1710.00901

4. Privacy on the road Evaluating German consumers' intention to use connected cars

5. Lars Buitinck , Gilles Louppe , Mathieu Blondel , Fabian Pedregosa , Andreas Mueller , Olivier Grisel , Vlad Niculae , Peter Prettenhofer , Alexandre Gramfort , Jaques Grobler , 2013. API design for machine learning software: experiences from the scikit-learn project. arXiv preprint arXiv:1309.0238 ( 2013 ). Lars Buitinck, Gilles Louppe, Mathieu Blondel, Fabian Pedregosa, Andreas Mueller, Olivier Grisel, Vlad Niculae, Peter Prettenhofer, Alexandre Gramfort, Jaques Grobler, 2013. API design for machine learning software: experiences from the scikit-learn project. arXiv preprint arXiv:1309.0238 (2013).

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