ACCIO: How to Make Location Privacy Experimentation Open and Easy

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.
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Submitted on : Thursday, May 3, 2018 - 5:53:28 PM
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Vincent Primault, Mohamed Maouche, Antoine Boutet, Sonia Ben Mokhtar, Sara Bouchenak, et al.. ACCIO: How to Make Location Privacy Experimentation Open and Easy. ICDCS 2018 - 38th IEEE International Conference on Distributed Computing Systems, Jul 2018, Vienna, Austria. pp.896-906, ⟨10.1109/ICDCS.2018.00091⟩. ⟨hal-01784557v2⟩

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