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Enforcing Privacy in Participatory Sensing Systems

Dimitrios Tsolovos 1, 2, 3
3 PETRUS - Personal Trusted cloud
Inria Saclay - Ile de France, DAVID - Données et algorithmes pour une ville intelligente et durable - DAVID
Abstract : Mobile Participatory Sensing systems provide useful data gathered from mobile devices that would otherwise require expensive deployments of sensor networks. This type of data can identify participants and infer important private information. In this Ph.D. thesis, we investigate a decentralized approach assisted by Trusted Execution Environment enabled hardware to enforce the control of the participants on the usage of the collected personal data series.
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Submitted on : Wednesday, October 31, 2018 - 3:16:05 PM
Last modification on : Wednesday, November 3, 2021 - 6:03:54 AM
Long-term archiving on: : Friday, February 1, 2019 - 5:18:19 PM


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  • HAL Id : hal-01910067, version 1


Dimitrios Tsolovos. Enforcing Privacy in Participatory Sensing Systems. Middleware Doctoral Symposium 2018, ACM, Dec 2018, Rennes, France. ⟨hal-01910067⟩



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