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Towards User-Side Uniqueness Assessment of Mobility Data with a Federated Learning Approach

KHALFOUN Besma – 3^rd year Ph.D student

Supervised by:

BEN MOKHTAR Sonia

BOUCHENAK Sara

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Context and threats

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https://www.statista.com/statistics/471264/iot-number-of-connected-devices-worldwide/

Mobility Big Data

75,44

Connected devices in billions

Workplace

Sexual orientation

Home

Identity

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SAFER Overview

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Example

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I_p of User U₃ is not unique

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Preliminary Results

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MDC Dataset

« Unique in the crowd: the privacy bounds pf human mobility » Y.-A. de Montjoye, C. A. Hidalgo, M. Verleysen, and V. D. Blondel, Scientific reports, vol. 3, 2013.

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Thank You

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