Implementation Aspects of Smart Grids Cyber-Security Cross-Layered Framework for Critical Infrastructure Operation
Abstract
Communication networks in power systems are a major part of the smart grid paradigm. It enables and facilitates the automation of power grid operation as well as self-healing in contingencies. Such dependencies on communication networks, though, create a roam for cyber-threats. An adversary can launch an attack on the communication network, which in turn reflects on power grid operation. Attacks could be in the form of false data injection into system measurements, flooding the communication channels with unnecessary data, or intercepting messages. Using machine learning-based processing on data gathered from communication networks and the power grid is a promising solution for detecting cyber threats. In this paper, a co-simulation of cyber-security for cross-layer strategy is presented. The advantage of such a framework is the augmentation of valuable data that enhances the detection as well as identification of anomalies in the operation of the power grid. The framework is implemented on the IEEE 118-bus system. The system is constructed in Mininet to simulate a communication network and obtain data for analysis. A distributed three controller software-defined networking (SDN) framework is proposed that utilizes the Open Network Operating System (ONOS) cluster. According to the findings of our suggested architecture, it outperforms amore »
- Authors:
-
[1];
[1];
[2]
- Univ. of Florida, Gainesville, FL (United States)
- Univ. of Florida, Gainesville, FL (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Publication Date:
- Research Org.:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE; National Science Foundation (NSF)
- OSTI Identifier:
- 1881853
- Report Number(s):
- PNNL-SA-174282
Journal ID: ISSN 2076-3417
- Grant/Contract Number:
- AC05-76RL01830; ECCS-1809739
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Applied Sciences
- Additional Journal Information:
- Journal Volume: 12; Journal Issue: 14; Journal ID: ISSN 2076-3417
- Publisher:
- MDPI
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; cyber security; software-defined networking; network security; cyber-physical systems; cross-layered; power systems; machine learning
Citation Formats
Agnew, Dennis, Aljohani, Nader, Mathieu, Reynold, Boamah, Sharon, Nagaraj, Keerthiraj, McNair, Janise, and Bretas, Arturo. Implementation Aspects of Smart Grids Cyber-Security Cross-Layered Framework for Critical Infrastructure Operation. United States: N. p., 2022.
Web. doi:10.3390/app12146868.
Agnew, Dennis, Aljohani, Nader, Mathieu, Reynold, Boamah, Sharon, Nagaraj, Keerthiraj, McNair, Janise, & Bretas, Arturo. Implementation Aspects of Smart Grids Cyber-Security Cross-Layered Framework for Critical Infrastructure Operation. United States. https://doi.org/10.3390/app12146868
Agnew, Dennis, Aljohani, Nader, Mathieu, Reynold, Boamah, Sharon, Nagaraj, Keerthiraj, McNair, Janise, and Bretas, Arturo. Thu .
"Implementation Aspects of Smart Grids Cyber-Security Cross-Layered Framework for Critical Infrastructure Operation". United States. https://doi.org/10.3390/app12146868. https://www.osti.gov/servlets/purl/1881853.
@article{osti_1881853,
title = {Implementation Aspects of Smart Grids Cyber-Security Cross-Layered Framework for Critical Infrastructure Operation},
author = {Agnew, Dennis and Aljohani, Nader and Mathieu, Reynold and Boamah, Sharon and Nagaraj, Keerthiraj and McNair, Janise and Bretas, Arturo},
abstractNote = {Communication networks in power systems are a major part of the smart grid paradigm. It enables and facilitates the automation of power grid operation as well as self-healing in contingencies. Such dependencies on communication networks, though, create a roam for cyber-threats. An adversary can launch an attack on the communication network, which in turn reflects on power grid operation. Attacks could be in the form of false data injection into system measurements, flooding the communication channels with unnecessary data, or intercepting messages. Using machine learning-based processing on data gathered from communication networks and the power grid is a promising solution for detecting cyber threats. In this paper, a co-simulation of cyber-security for cross-layer strategy is presented. The advantage of such a framework is the augmentation of valuable data that enhances the detection as well as identification of anomalies in the operation of the power grid. The framework is implemented on the IEEE 118-bus system. The system is constructed in Mininet to simulate a communication network and obtain data for analysis. A distributed three controller software-defined networking (SDN) framework is proposed that utilizes the Open Network Operating System (ONOS) cluster. According to the findings of our suggested architecture, it outperforms a single SDN controller framework by a factor of more than ten times the throughput. This provides for a higher flow of data throughout the network while decreasing congestion caused by a single controller’s processing restrictions. Furthermore, our CECD-AS approach outperforms state-of-the-art physics and machine learning-based techniques in terms of attack classification. The performance of the framework is investigated under various types of communication attacks.},
doi = {10.3390/app12146868},
journal = {Applied Sciences},
number = 14,
volume = 12,
place = {United States},
year = {Thu Jul 07 00:00:00 EDT 2022},
month = {Thu Jul 07 00:00:00 EDT 2022}
}
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Works referenced in this record:
A Bi-Level Model for Detecting and Correcting Parameter Cyber-Attacks in Power System State Estimation
journal, July 2021
- Aljohani, Nader; Bretas, Arturo
- Applied Sciences, Vol. 11, Issue 14
Data-driven Physics-based Solution for False Data Injection Diagnosis in Smart Grids
conference, August 2019
- Trevizan, Rodrigo D.; Ruben, Cody; Nagaraj, Keerthiraj
- 2019 IEEE Power & Energy Society General Meeting (PESGM)
Further contributions to smart grids cyber-physical security as a malicious data attack: Proof and properties of the parameter error spreading out to the measurements and a relaxed correction model
journal, January 2019
- Bretas, Arturo S.; Bretas, Newton G.; Carvalho, Breno E. B.
- International Journal of Electrical Power & Energy Systems, Vol. 104
Ensemble CorrDet with adaptive statistics for bad data detection
journal, July 2020
- Nagaraj, Keerthiraj; Zou, Sheng; Ruben, Cody
- IET Smart Grid, Vol. 3, Issue 5
Cross‐layered distributed data‐driven framework for enhanced smart grid cyber‐physical security
journal, May 2022
- Starke, Allen; Nagaraj, Keerthiraj; Ruben, Cody
- IET Smart Grid
A Distributed Software Defined Networking Model to Improve the Scalability and Quality of Services for Flexible Green Energy Internet for Smart Grid Systems
journal, June 2020
- Qureshi, Kashif Naseer; Hussain, Raza; Jeon, Gwanggil
- Computers & Electrical Engineering, Vol. 84
Software-Defined Networking: A Comprehensive Survey
journal, January 2015
- Kreutz, Diego; Ramos, Fernando M. V.; Esteves Verissimo, Paulo
- Proceedings of the IEEE, Vol. 103, Issue 1
Packet Trains--Measurements and a New Model for Computer Network Traffic
journal, September 1986
- Jain, R.; Routhier, S.
- IEEE Journal on Selected Areas in Communications, Vol. 4, Issue 6
Hybrid data‐driven physics model‐based framework for enhanced cyber‐physical smart grid security
journal, April 2020
- Ruben, Cody; Dhulipala, Surya; Nagaraj, Keerthiraj
- IET Smart Grid, Vol. 3, Issue 4
Detecting and Mitigating ARP Attacks in SDN-Based Cloud Environment
conference, July 2020
- Sun, Sixian; Fu, Xiao; Luo, Bin
- IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Research about DoS Attack against ICPS
journal, March 2019
- Gao, Jianlei; Chai, Senchun; Zhang, Baihai
- Sensors, Vol. 19, Issue 7
Smart grids cyber-physical security as a malicious data attack: An innovation approach
journal, August 2017
- Bretas, Arturo S.; Bretas, Newton G.; Carvalho, Breno
- Electric Power Systems Research, Vol. 149
Model to Improve Scalability and Quality of Services in Software Define Networking
conference, March 2019
- Hussain, Raza; Bashir, Muhammad Umair
- 2019 2nd International Conference on Communication, Computing and Digital systems (C-CODE)
Distribution networks nontechnical power loss estimation: A hybrid data-driven physics model-based framework
journal, September 2020
- Bretas, Arturo S.; Rossoni, Aquiles; Trevizan, Rodrigo D.
- Electric Power Systems Research, Vol. 186
A Network Parameter Database False Data Injection Correction Physics-Based Model: A Machine Learning Synthetic Measurement-Based Approach
journal, August 2021
- Zou, Tierui; Aljohani, Nader; Nagaraj, Keerthiraj
- Applied Sciences, Vol. 11, Issue 17
Secure Messaging Authentication against Active Man-in-the-Middle Attacks
conference, September 2021
- Dowling, Benjamin; Hale, Britta
- 2021 IEEE European Symposium on Security and Privacy (EuroS&P)
Convergence Property of the Measurement Gross Error Correction in Power System State Estimation, Using Geometrical Background
journal, November 2013
- Bretas, N. G.; Bretas, A. S.; Martins, Andre C. P.
- IEEE Transactions on Power Systems, Vol. 28, Issue 4
Adaptive coherence estimator (ACE) for explosive hazard detection using wideband electromagnetic induction (WEMI)
conference, May 2016
- Alvey, Brendan; Zare, Alina; Cook, Matthew
- Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI
The Extension of the Gauss Approach for the Solution of an Overdetermined Set of Algebraic Non Linear Equations
journal, September 2018
- Bretas, Newton G.; Bretas, Arturo S.
- IEEE Transactions on Circuits and Systems II: Express Briefs, Vol. 65, Issue 9
NOX: towards an operating system for networks
journal, July 2008
- Gude, Natasha; Koponen, Teemu; Pettit, Justin
- ACM SIGCOMM Computer Communication Review, Vol. 38, Issue 3