Towards a Practical Deployment of Privacy-preserving Crowd-sensing Tasks - Archive ouverte HAL
Communication Dans Un Congrès Année : 2014

Towards a Practical Deployment of Privacy-preserving Crowd-sensing Tasks

Résumé

Recent generations of mobile phones, embedding a wide variety of sensors, have fostered the development of open sensing applications, such as network quality or weather forecast applications. In this paper, we present a novel privacy-preserving crowdsourcing platform relying on two components: APISENSE and PRIVAPI. APISENSE is a distributed middleware platform that leverages the dynamic deployment of crowdsourcing tasks across a population of mobile phones. PRIVAPI is a middleware handling privacy-preserving publication of mobility data.
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Dates et versions

hal-01095787 , version 1 (18-12-2014)

Identifiants

Citer

Nicolas Haderer, Vincent Primault, Patrice Raveneau, Christophe Ribeiro, Romain Rouvoy, et al.. Towards a Practical Deployment of Privacy-preserving Crowd-sensing Tasks. Middleware Posters and Demos '14, Dec 2014, Bordeaux, France. ⟨10.1145/2678508.2678530⟩. ⟨hal-01095787⟩
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