A Dataset of Cyber-Induced Mechanical Faults on Buildings with Network and Buildings Data
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.
Citation Formats
TY - DATA
AB - 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.
AU - Balamurugan
A2 - Granda
A3 - Haile
A4 - Petersen
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - smart buildings
KW - Bacnet
KW - cyber-induced faults
KW - cyber security
KW - simulation
LA - English
DA - 2023/01/30
PY - 2023
PB - National Renewable Energy Laboratory
T1 - A Dataset of Cyber-Induced Mechanical Faults on Buildings with Network and Buildings Data
UR - https://data.openei.org/submissions/8261
ER -
Balamurugan, et al. A Dataset of Cyber-Induced Mechanical Faults on Buildings with Network and Buildings Data. National Renewable Energy Laboratory, 30 January, 2023, NREL. https://data.nrel.gov/submissions/210.
Balamurugan, Granda, Haile, & Petersen. (2023). A Dataset of Cyber-Induced Mechanical Faults on Buildings with Network and Buildings Data. [Data set]. NREL. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/210
Balamurugan, Granda, Haile, and Petersen. A Dataset of Cyber-Induced Mechanical Faults on Buildings with Network and Buildings Data. National Renewable Energy Laboratory, January, 30, 2023. Distributed by NREL. https://data.nrel.gov/submissions/210
@misc{OEDI_Dataset_8261,
title = {A Dataset of Cyber-Induced Mechanical Faults on Buildings with Network and Buildings Data},
author = {Balamurugan and Granda and Haile and Petersen},
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.},
url = {https://data.nrel.gov/submissions/210},
year = {2023},
howpublished = {NREL, National Renewable Energy Laboratory, https://data.nrel.gov/submissions/210},
note = {Accessed: 2025-05-08}
}
Details
Data from Jan 30, 2023
Last updated Jan 17, 2025
Submitted Jan 30, 2023
Organization
National Renewable Energy Laboratory
Contact
Sivasathya Pradha Balamurugan
Authors
Original Source
https://data.nrel.gov/submissions/210Research Areas
Keywords
smart buildings, Bacnet, cyber-induced faults, cyber security, simulationDOE Project Details
Project Name BENEFIT - Integ cyber threat awareness
Project Number 3.2.6.104