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Modeling and evaluation of cyber-attacks on grid-interactive efficient buildings.
- Source :
-
Applied Energy . Dec2021, Vol. 303, pN.PAG-N.PAG. 1p. - Publication Year :
- 2021
-
Abstract
- • A flexible and extensible simulation-based framework for modeling cyber threats on GEBs. • Dynamic models of network-based building energy and control system and associated cyber-attacks. • A list of key performance indexes (KPIs) to quantify threats impact on building and grid services. • An Evaluation of cyber-attack impacts during the attack period and the post-attack period. Grid-interactive efficient buildings (GEBs) are not only exposed to passive threats (e.g., physical faults) but also active threats such as cyber-attacks launched on the network-based control systems. The impact of cyber-attacks on GEB operation are not yet fully understood, especially as regards the performance of grid services. To quantify the consequences of cyber-attacks on GEBs, this paper proposes a modeling and simulation framework that includes different cyber-attack models and key performance indexes to quantify the performance of GEB operation under cyber-attacks. The framework is numerically demonstrated to model and evaluate cyber-attacks such as data intrusion attacks and Denial-of-Service attacks on a typical medium-sized office building that uses the BACnet/IP protocol for communication networks. Simulation results show that, while different types of attacks could compromise the building systems to different extents, attacks via the remote control of a chiller yield the most significant consequences on a building system's operation, including both the building service and the grid service. It is also noted that a cyber-attack impacts the building systems during the attack period as well as the post-attack period, which suggests that both periods should be considered to fully evaluate the consequences of a cyber-attack. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03062619
- Volume :
- 303
- Database :
- Academic Search Index
- Journal :
- Applied Energy
- Publication Type :
- Academic Journal
- Accession number :
- 152649265
- Full Text :
- https://doi.org/10.1016/j.apenergy.2021.117639