Demo: Privacy-Preserving Building-Related Data Publication Using PAD

Ruoxi Jia, Fisayo Caleb Sangogboye, Tianzhen Hong, Costas J. Spanos, Mikkel Baun Kjærgaard

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

The massive data collected from buildings provide opportunities for data- and information-based building management. Furthermore, to benefit from collective efforts in research communities, there arises a need for methods to share building-related data in a privacy-preserving manner while being able to ensure the utility of published datasets. In this demo abstract, we present PAD, an open-sourced data publication system that offers k-anonymity guarantee. The novelty of this system is to incorporate data recipients' feedbacks into the publication process in order to improve data utility. We demonstrate the interface of PAD and highlight how participants (as data publishers) can generate sanitized datasets using this interface. Also, we demonstrate how participants (as data users) can provide feedback to PAD for improving data quality.
OriginalsprogEngelsk
TitelProceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments
Antal sider2
Udgivelses stedNew York, NY, USA
ForlagAssociation for Computing Machinery
Publikationsdato2017
Artikelnummer32
ISBN (Trykt)978-1-4503-5544-5
DOI
StatusUdgivet - 2017
Begivenhed4th ACM International Conference on Systems for Energy-Efficient Built Environments - Delft, Holland
Varighed: 8. nov. 20179. nov. 2017
Konferencens nummer: 4

Konference

Konference4th ACM International Conference on Systems for Energy-Efficient Built Environments
Nummer4
LandHolland
ByDelft
Periode08/11/201709/11/2017

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Jia, R., Sangogboye, F. C., Hong, T., Spanos, C. J., & Kjærgaard, M. B. (2017). Demo: Privacy-Preserving Building-Related Data Publication Using PAD. I Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments [32] New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3137133.3141436
Jia, Ruoxi ; Sangogboye, Fisayo Caleb ; Hong, Tianzhen ; Spanos, Costas J. ; Kjærgaard, Mikkel Baun. / Demo: Privacy-Preserving Building-Related Data Publication Using PAD. Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments. New York, NY, USA : Association for Computing Machinery, 2017.
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title = "Demo: Privacy-Preserving Building-Related Data Publication Using PAD",
abstract = "The massive data collected from buildings provide opportunities for data- and information-based building management. Furthermore, to benefit from collective efforts in research communities, there arises a need for methods to share building-related data in a privacy-preserving manner while being able to ensure the utility of published datasets. In this demo abstract, we present PAD, an open-sourced data publication system that offers k-anonymity guarantee. The novelty of this system is to incorporate data recipients' feedbacks into the publication process in order to improve data utility. We demonstrate the interface of PAD and highlight how participants (as data publishers) can generate sanitized datasets using this interface. Also, we demonstrate how participants (as data users) can provide feedback to PAD for improving data quality.",
keywords = "Occupancy privacy, k-anonymity, Clustering, Convex optimization",
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Jia, R, Sangogboye, FC, Hong, T, Spanos, CJ & Kjærgaard, MB 2017, Demo: Privacy-Preserving Building-Related Data Publication Using PAD. i Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments., 32, Association for Computing Machinery, New York, NY, USA, 4th ACM International Conference on Systems for Energy-Efficient Built Environments, Delft, Holland, 08/11/2017. https://doi.org/10.1145/3137133.3141436

Demo: Privacy-Preserving Building-Related Data Publication Using PAD. / Jia, Ruoxi; Sangogboye, Fisayo Caleb; Hong, Tianzhen; Spanos, Costas J.; Kjærgaard, Mikkel Baun.

Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments. New York, NY, USA : Association for Computing Machinery, 2017. 32.

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

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AU - Kjærgaard, Mikkel Baun

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Jia R, Sangogboye FC, Hong T, Spanos CJ, Kjærgaard MB. Demo: Privacy-Preserving Building-Related Data Publication Using PAD. I Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments. New York, NY, USA: Association for Computing Machinery. 2017. 32 https://doi.org/10.1145/3137133.3141436