Anonymizing Building Data for Data Analytics in Cross-Organizational Settings

Jens Hjort Schwee*, Fisayo Caleb Sangogboye, Mikkel Baun Kjærgaard

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Low-cost sensors are being installed in smart buildings to gather large amounts of sensor data on building operation and occupant comfort. These sensor data enables the development of data-driven applications and the analysis of building use. Many of such applications are cross-organizational because data are being shared between a building owner and a contractor that works with data at different spatial granularities, e.g., an open plan office or a heating ventilation and air conditioning (HVAC) zone. This is a challenge as 1) sharing the sensor data in its original form can reveal performance indexes amongst occupants and can violate occupant’s privacy by revealing behavioral patterns; 2) methods proposed by previous work fails to anonymize the limited number of individual sensor streams available at smaller spatial granularities, e.g., at the zone-level. In this paper, we propose a meta-method, Time-slicer for anonymizing datasets with a limited number of individual sensor streams and for variable length to enable zone-level applications on anonymized data. The evaluation of the Time-Slicer shows that the method provides privacy protection with only a few individual data streams as it can replace the need for individual sensors with past data.
Original languageEnglish
Title of host publicationIoTDI '19 Proceedings of the International Conference on Internet of Things Design and Implementation
PublisherAssociation for Computing Machinery
Publication date15. Apr 2019
Pages1-12
ISBN (Electronic)9781450362832
DOIs
Publication statusPublished - 15. Apr 2019
Event4th International Conference on Internet of Things Design and Implementation - Montreal, Canada
Duration: 15. Apr 201918. Apr 2019
Conference number: 4

Conference

Conference4th International Conference on Internet of Things Design and Implementation
Number4
Country/TerritoryCanada
CityMontreal
Period15/04/201918/04/2019

Keywords

  • Building
  • Privacy Protection, Anonymization
  • Data-Driven Applications
  • k-Anonymity
  • Privacy-Preserving Data Publishing
  • anonymization
  • data-driven applications
  • privacy protection
  • building
  • privacy-preserving data publishing
  • k-anonymity

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