Ensuring privacy of occupancy changes in smart buildings

QC 20230307
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.

TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering hsv//eng
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)

Molinari, MarcoKTH,Tillämpad termodynamik och kylteknik,Reglerteknik(Swepub:kth)u1gyp8gh (författare)
Pare, Philip E.KTH,Tillämpad termodynamik och kylteknik,Reglerteknik(Swepub:kth)u1rwoxl9 (författare)
Sandberg, HenrikKTH,Tillämpad termodynamik och kylteknik,Reglerteknik(Swepub:kth)u1i9irki (författare)
KTHReglerteknik (creator_code:org_t)

Ingår i:CCTA 2020 - 4th IEEE Conference on Control Technology and Applications: Institute of Electrical and Electronics Engineers Inc., s. 871-876

Av författaren/redakt...: Alisic, Rijad; Molinari, Marco; Pare, Philip E.; Sandberg, Henrik

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