poster

The smart building privacy challenge

Authors:

Tong Wu,

Mahsa Pahlavikhah Varnosfaderani,

Jiechao Gao,

Arsalan Heydarian,

Brad Campbell,

Jorge OrtizAuthors Info & Claims

BuildSys '21: Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

Pages 238 - 239

https://doi.org/10.1145/3486611.3492234

Published: 17 November 2021 Publication History

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Abstract

Time-series data gathered from smart spaces hide user's personal information that may arise privacy concerns. However, these data are needed to enable desired services. In this paper, we propose a privacy preserving framework based on Generative Adversarial Networks (GAN) that supports sensor-based applications while preserving the user identity. Experiments with two datasets show that the proposed model can reduce the inference of the user's identity while inferring the occupancy with a high level of accuracy.

References

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Alex Beltran and Alberto E. Cerpa. 2014. Optimal HVAC Building Control with Occupancy Prediction. In Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings (BuildSys '14). 168--171.

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Tahiya Chowdhury and Murtadha Aldeer et. al. 2021. Poster: Maestro-An Ambient Sensing Platform With Active Learning to Enable Smart Applications. In Proceedings of the 2021 International Conference on Embedded Wireless Systems and Networks (EWSN '21). Article 15.

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Jacob Kröger. 2019. Unexpected Inferences from Sensor Data: A Hidden Privacy Threat in the Internet of Things. In Internet of Things. Information Processing in an Increasingly Connected World, Leon Strous and Vinton G. Cerf (Eds.). Springer International Publishing, Cham, 147--159.

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Cited By

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Patidar PGoel MAgarwal Y(2023)VAXProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109077:3(1-24)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610907
Aldeer MSun YPai NFlorentine JYu JOrtiz J(2023)Poster Abstract: A Testbed for Context Representation in Physical SpacesProceedings of the 22nd International Conference on Information Processing in Sensor Networks10.1145/3583120.3589838(336-337)Online publication date: 9-May-2023
https://dl.acm.org/doi/10.1145/3583120.3589838
Le TWang AYao YFeng YHeydarian ASadeh NTian Y(2023)Exploring Smart Commercial Building Occupants’ Perceptions and Notification Preferences of Internet of Things Data Collection in the United States2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P)10.1109/EuroSP57164.2023.00064(1030-1046)Online publication date: Jul-2023
https://doi.org/10.1109/EuroSP57164.2023.00064
Show More Cited By

Index Terms

The smart building privacy challenge
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Embedded systems
    2. Sensor networks

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Information & Contributors

Information

Published In

BuildSys '21: Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

November 2021

388 pages

ISBN:9781450391146

DOI:10.1145/3486611

General Chair:
Xiaofan (Fred) Jiang
Columbia University
,
Program Chairs:
Omprakash Gnawali
University of Houston
,
Zoltan Nagy
The University of Texas Austin

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 November 2021

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Author Tags

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Poster

Conference

BuildSys '21

Sponsor:

SIGEnergy

BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

November 17 - 18, 2021

Coimbra, Portugal

Acceptance Rates

BuildSys '21 Paper Acceptance Rate 28 of 107 submissions, 26%;

Overall Acceptance Rate 148 of 500 submissions, 30%

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Citations

Cited By

View all

Patidar PGoel MAgarwal Y(2023)VAXProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109077:3(1-24)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610907
Aldeer MSun YPai NFlorentine JYu JOrtiz J(2023)Poster Abstract: A Testbed for Context Representation in Physical SpacesProceedings of the 22nd International Conference on Information Processing in Sensor Networks10.1145/3583120.3589838(336-337)Online publication date: 9-May-2023
https://dl.acm.org/doi/10.1145/3583120.3589838
Le TWang AYao YFeng YHeydarian ASadeh NTian Y(2023)Exploring Smart Commercial Building Occupants’ Perceptions and Notification Preferences of Internet of Things Data Collection in the United States2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P)10.1109/EuroSP57164.2023.00064(1030-1046)Online publication date: Jul-2023
https://doi.org/10.1109/EuroSP57164.2023.00064
Wang WNikseresht FRajan VGao JCampbell B(2023)Enabling Ubiquitous Occupancy Detection in Smart Buildings: A WiFi FTM-Based Approach2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)10.1109/DCOSS-IoT58021.2023.00051(256-260)Online publication date: Jun-2023
https://doi.org/10.1109/DCOSS-IoT58021.2023.00051
Li BTavakoli AHeydarian A(2023)Occupant privacy perception, awareness, and preferences in smart office environmentsScientific Reports10.1038/s41598-023-30788-513:1Online publication date: 11-Mar-2023
https://doi.org/10.1038/s41598-023-30788-5

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