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Ensuring privacy of...
Ensuring privacy of occupancy changes in smart buildings
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- Alisic, Rijad (author)
- KTH,Reglerteknik,Tillämpad termodynamik och kylteknik
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- Molinari, Marco (author)
- KTH,Tillämpad termodynamik och kylteknik,Reglerteknik
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- Pare, Philip E. (author)
- KTH,Tillämpad termodynamik och kylteknik,Reglerteknik
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- Sandberg, Henrik (author)
- KTH,Tillämpad termodynamik och kylteknik,Reglerteknik
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers Inc. 2020
- 2020
- English.
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In: CCTA 2020 - 4th IEEE Conference on Control Technology and Applications. - : Institute of Electrical and Electronics Engineers Inc.. ; , s. 871-876
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- Smart building management systems rely on sensors to optimize the operation of buildings. If an unauthorized user gains access to these sensors, a privacy leak may occur. This paper considers such a potential leak of privacy in a smart residential building, and how it may be mitigated by corrupting the measurements with additive Gaussian noise. This corruption is done in order to hide when the occupancy changes in an apartment. A lower bound on the variance of any estimator that estimates the change time is derived. The bound is then used to analyze how different model parameters affect the variance. It is shown that the signal to noise ratio and the system dynamics are the main factors that affect the bound. These results are then verified on a simulator of the KTH Live-In Lab Testbed, showing good correspondence with theoretical results.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Keyword
- Intelligent buildings
- Signal to noise ratio
- Additive Gaussian noise
- Building management system
- Change time
- Lower bounds
- Model parameters
- Residential building
- System Dynamics
- Unauthorized users
- Gaussian noise (electronic)
Publication and Content Type
- ref (subject category)
- kon (subject category)
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