Privacy in crowdsourcing:a systematic review

The advent of crowdsourcing has brought with it multiple privacy challenges. For example, essential monitoring activities, while necessary and unavoidable, also potentially compromise contributor privacy. We conducted an extensive literature review of the research related to the privacy aspects of crowdsourcing. Our investigation revealed interesting gender differences and also differences in terms of individual perceptions. We conclude by suggesting a number of future research directions.</p

Towards Privacy-Preserving Data Dissemination in Crowd-Sensing Middleware Platform

National audienceCrowd-sensing, also known as mobile crowdsourcing, is a growing research topic, which consists in engaging end users in the process of gathering physical measurements in the field. While the democratization of such middleware platforms opens the venue for the observation of phenomenon at scale, it may also raise key issues about the privacy of end users involved in the gathering process. In this paper, we therefore report on our preliminary steps towards enabling privacy-preserving data dissemination in crowd-sensing middleware platforms by adopting a decentralized dissemination strategy to fuzz the contributions of end users. To assess such a strategy, we also report in this paper on our initiative to deploy a large-scale middleware platform to emulate and control a crowd of devices. In particular , we claim that an assessment by simulation is not acceptable for such a kind of contribution and that the mobile engineering community requires a more realistic evaluation testbed