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Collaborative and Privacy-Aware Sensing for Observing Urban Movement Patterns

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 8247))

Abstract

The information infrastructure that pervades urban environments represents a major opportunity for collecting information about Human mobility. However, this huge potential has been undermined by the overwhelming privacy risks that are associated with such forms of large scale sensing. In this research, we are concerned with the problem of how to enable a set of autonomous sensing nodes, e.g. a Bluetooth scanner or a Wi-Fi hotspot, to collaborate in the observation of movement patterns of individuals without compromising their privacy. We describe a novel technique that generates Precedence Filters and allows probabilistic estimations of sequences of visits to monitored locations and we demonstrate how this technique can combine plausible deniability by an individual with valuable information about aggregate movement patterns.

Financed by the ERDF – European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT – Fundação para a Ciência e a Tecnologia (Foundation for Science and Technology) within project “FCOMP - 01-0124-FEDER-022701”.

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Notes

  1. 1.

    In statistics, replication is the repetition of an experiment or observation in the same or similar conditions.

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Correspondence to Carlos Baquero .

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Gonçalves, N., José, R., Baquero, C. (2014). Collaborative and Privacy-Aware Sensing for Observing Urban Movement Patterns. In: Garcia-Alfaro, J., Lioudakis, G., Cuppens-Boulahia, N., Foley, S., Fitzgerald, W. (eds) Data Privacy Management and Autonomous Spontaneous Security. DPM SETOP 2013 2013. Lecture Notes in Computer Science(), vol 8247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54568-9_4

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  • DOI: https://doi.org/10.1007/978-3-642-54568-9_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54567-2

  • Online ISBN: 978-3-642-54568-9

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