Journal article
Modeling and evaluation of cyber-attacks on grid-interactive efficient buildings
Applied energy, v 303(C), 117639
01 Dec 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Modeling and evaluation of cyber-attacks on grid-interactive efficient buildings
- Creators
- Yangyang Fu - Texas A&M UniversityZheng O'Neill - Texas A&M UniversityZhiyao Yang - Texas A&M UniversityVeronica Adetola - Pacific Northwest National LaboratoryJin Wen - Drexel UniversityLingyu Ren - Raytheon TechnologiesTim Wagner - Raytheon TechnologiesQi Zhu - Northwestern UniversityTerresa Wu - School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, USA.
- Publication Details
- Applied energy, v 303(C), 117639
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000703610000005
- Scopus ID
- 2-s2.0-85113655673
- Other Identifier
- 991019168244204721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Energy & Fuels
- Engineering, Chemical