U.S. Department of EnergyOffice of Scientific and Technical Information
A dataset of cyber-induced mechanical faults on buildings with network and buildings data
Abstract
We have collected data of cyber-induced mechanical faults on buildings using a simulation platform. A DOE reference building model was used for running the simulation under a Rogue device attack and collected the network data as well as the physical buildings data to better understand the impacts of cyber attacks on the building and help identify the source of the mechanical fault with the network data. Alfalfa is the tool used for simulating the DOE reference buildings and acts as an interface to the model for querying the status and providing input externally. The Building Automation System (BAS) is the centralized controller providing control commands to other BACnet devices on the network based on the building status received from Alfalfa. The BACnet devices like damper will listen for the control commands from BAS on the BACnet network and implement it. The attacker is the malicious actor on the network creating disruptions by placing cyber-attacks.
- Authors:
-
;
- NREL; National Renewable Energy Laboratory
- Energy Security and Resilience
- Building Technologies and Science Center
- Publication Date:
- Other Number(s):
- 3.2.6.104
- Research Org.:
- National Renewable Energy Laboratory - Data (NREL-DATA), Golden, CO (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Subject:
- 24 POWER TRANSMISSION AND DISTRIBUTION; 25 ENERGY STORAGE; 29 ENERGY PLANNING, POLICY, AND ECONOMY; 42 ENGINEERING; 47 OTHER INSTRUMENTATION; 99 GENERAL AND MISCELLANEOUS; Bacnet; cyber security; cyber-induced faults; simulation; smart buildings
- OSTI Identifier:
- 1922641
- DOI:
- https://doi.org/10.7799/1922641
Citation Formats
Balamurugan, Sivasathya Pradha, Granda, Steve, Haile, Selam, and Petersen, Anya. A dataset of cyber-induced mechanical faults on buildings with network and buildings data. United States: N. p., 2023.
Web. doi:10.7799/1922641.
Balamurugan, Sivasathya Pradha, Granda, Steve, Haile, Selam, & Petersen, Anya. A dataset of cyber-induced mechanical faults on buildings with network and buildings data. United States. doi:https://doi.org/10.7799/1922641
Balamurugan, Sivasathya Pradha, Granda, Steve, Haile, Selam, and Petersen, Anya. 2023.
"A dataset of cyber-induced mechanical faults on buildings with network and buildings data". United States. doi:https://doi.org/10.7799/1922641. https://www.osti.gov/servlets/purl/1922641. Pub date:Sun Jan 29 04:00:00 UTC 2023
@article{osti_1922641,
title = {A dataset of cyber-induced mechanical faults on buildings with network and buildings data},
author = {Balamurugan, Sivasathya Pradha and Granda, Steve and Haile, Selam and Petersen, Anya},
abstractNote = {We have collected data of cyber-induced mechanical faults on buildings using a simulation platform. A DOE reference building model was used for running the simulation under a Rogue device attack and collected the network data as well as the physical buildings data to better understand the impacts of cyber attacks on the building and help identify the source of the mechanical fault with the network data. Alfalfa is the tool used for simulating the DOE reference buildings and acts as an interface to the model for querying the status and providing input externally. The Building Automation System (BAS) is the centralized controller providing control commands to other BACnet devices on the network based on the building status received from Alfalfa. The BACnet devices like damper will listen for the control commands from BAS on the BACnet network and implement it. The attacker is the malicious actor on the network creating disruptions by placing cyber-attacks.},
doi = {10.7799/1922641},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 29 04:00:00 UTC 2023},
month = {Sun Jan 29 04:00:00 UTC 2023}
}