Primault, V;
Maouche, M;
Boutet, A;
Ben Mokhtar, S;
Bouchenak, S;
Brunie, L;
(2018)
ACCIO: How to Make Location Privacy Experimentation Open and Easy.
In:
Proceedings of the 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS).
(pp. pp. 896-906).
IEEE: Vienna, Austria.
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Abstract
The advent of mobile applications collecting and exploiting the location of users opens a number of privacy threats. To mitigate these privacy issues, several protection mechanisms have been proposed this last decade to protect users' location privacy. However, these protection mechanisms are usually implemented and evaluated in monolithic way, with heterogeneous tools and languages. Moreover, they are evaluated using different methodologies, metrics and datasets. This lack of standard makes the task of evaluating and comparing protection mechanisms particularly hard. In this paper, we present ACCIO, a unified framework to ease the design and evaluation of protection mechanisms. Thanks to its Domain Specific Language, ACCIO allows researchers and practitioners to define and deploy experiments in an intuitive way, as well as to easily collect and analyse the results. ACCIO already comes with several state-of-the-art protection mechanisms and a toolbox to manipulate mobility data. Finally, ACCIO is open and easily extensible with new evaluation metrics and protection mechanisms. This openness, combined with a description of experiments through a user-friendly DSL, makes ACCIO an appealing tool to reproduce and disseminate research results easier. In this paper, we present ACCIO's motivation and architecture, and demonstrate its capabilities through several use cases involving multiples metrics, state-of-the-art protection mechanisms, and two real-life mobility datasets collected in Beijing and in the San Francisco area.
| Type: | Proceedings paper |
|---|---|
| Title: | ACCIO: How to Make Location Privacy Experimentation Open and Easy |
| Event: | 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS) |
| Location: | Vienna, Austria |
| Dates: | 02 July 2018 - 05 July 2018 |
| ISBN-13: | 978-1-5386-6871-9 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ICDCS.2018.00091 |
| Publisher version: | https://doi.org/10.1109/ICDCS.2018.00091 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Measurement, Privacy, Tools, Data privacy, DSL, Distortion, Companies |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10047858 |
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