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A Dataset of Cyber-Induced Mechanical Faults on Buildings with Network and Buildings Data

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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 -
Export Citation to RIS
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

Balamurugan

National Renewable Energy Laboratory

Granda

National Renewable Energy Laboratory

Haile

National Renewable Energy Laboratory

Petersen

National Renewable Energy Laboratory

DOE Project Details

Project Name BENEFIT - Integ cyber threat awareness

Project Number 3.2.6.104

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