GridAttackAnalyzer: A Cyber Attack Analysis Framework for Smart Grids

The smart grid is one of the core technologies that enable sustainable economic and social developments. In recent years, various cyber attacks have targeted smart grid systems, which have led to severe, harmful consequences. It would be challenging to build a real smart grid system for cybersecurit...

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Main Authors: Tan Duy Le, Mengmeng Ge, Adnan Anwar, Seng W. Loke, Razvan Beuran, Robin Doss, Yasuo Tan
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/13/4795
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author Tan Duy Le
Mengmeng Ge
Adnan Anwar
Seng W. Loke
Razvan Beuran
Robin Doss
Yasuo Tan
author_facet Tan Duy Le
Mengmeng Ge
Adnan Anwar
Seng W. Loke
Razvan Beuran
Robin Doss
Yasuo Tan
author_sort Tan Duy Le
collection DOAJ
description The smart grid is one of the core technologies that enable sustainable economic and social developments. In recent years, various cyber attacks have targeted smart grid systems, which have led to severe, harmful consequences. It would be challenging to build a real smart grid system for cybersecurity experimentation and validation purposes. Hence, analytical techniques, with simulations, can be considered as a practical solution to make smart grid cybersecurity experimentation possible. This paper first provides a literature review on the current state-of-the-art in smart grid attack analysis. We then apply graphical security modeling techniques to design and implement a Cyber Attack Analysis Framework for Smart Grids, named GridAttackAnalyzer. A case study with various attack scenarios involving Internet of Things (IoT) devices is conducted to validate the proposed framework and demonstrate its use. The functionality and user evaluations of GridAttackAnalyzer are also carried out, and the evaluation results show that users have a satisfying experience with the usability of GridAttackAnalyzer. Our modular and extensible framework can serve multiple purposes for research, cybersecurity training, and security evaluation in smart grids.
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spelling doaj.art-6db1cced2e1f4a128830f39be7257db92023-11-30T22:25:14ZengMDPI AGSensors1424-82202022-06-012213479510.3390/s22134795GridAttackAnalyzer: A Cyber Attack Analysis Framework for Smart GridsTan Duy Le0Mengmeng Ge1Adnan Anwar2Seng W. Loke3Razvan Beuran4Robin Doss5Yasuo Tan6School of Computer Science and Engineering, International University, Ho Chi Minh City 700000, VietnamSchool of Computing Technologies, RMIT University, Melbourne, VIC 3000, AustraliaCenter for Cyber Security Research and Innovation (CSRI), School of Information Technology, Deakin University, Geelong, VIC 3216, AustraliaCenter for Cyber Security Research and Innovation (CSRI), School of Information Technology, Deakin University, Geelong, VIC 3216, AustraliaSchool of Information Science, Japan Advanced Institute of Science and Technology, Nomi 923-1211, Ishikawa, JapanCenter for Cyber Security Research and Innovation (CSRI), School of Information Technology, Deakin University, Geelong, VIC 3216, AustraliaSchool of Information Science, Japan Advanced Institute of Science and Technology, Nomi 923-1211, Ishikawa, JapanThe smart grid is one of the core technologies that enable sustainable economic and social developments. In recent years, various cyber attacks have targeted smart grid systems, which have led to severe, harmful consequences. It would be challenging to build a real smart grid system for cybersecurity experimentation and validation purposes. Hence, analytical techniques, with simulations, can be considered as a practical solution to make smart grid cybersecurity experimentation possible. This paper first provides a literature review on the current state-of-the-art in smart grid attack analysis. We then apply graphical security modeling techniques to design and implement a Cyber Attack Analysis Framework for Smart Grids, named GridAttackAnalyzer. A case study with various attack scenarios involving Internet of Things (IoT) devices is conducted to validate the proposed framework and demonstrate its use. The functionality and user evaluations of GridAttackAnalyzer are also carried out, and the evaluation results show that users have a satisfying experience with the usability of GridAttackAnalyzer. Our modular and extensible framework can serve multiple purposes for research, cybersecurity training, and security evaluation in smart grids.https://www.mdpi.com/1424-8220/22/13/4795smart gridcybersecuritycyber attackvulnerabilitygraphical security modelingattack graph
spellingShingle Tan Duy Le
Mengmeng Ge
Adnan Anwar
Seng W. Loke
Razvan Beuran
Robin Doss
Yasuo Tan
GridAttackAnalyzer: A Cyber Attack Analysis Framework for Smart Grids
Sensors
smart grid
cybersecurity
cyber attack
vulnerability
graphical security modeling
attack graph
title GridAttackAnalyzer: A Cyber Attack Analysis Framework for Smart Grids
title_full GridAttackAnalyzer: A Cyber Attack Analysis Framework for Smart Grids
title_fullStr GridAttackAnalyzer: A Cyber Attack Analysis Framework for Smart Grids
title_full_unstemmed GridAttackAnalyzer: A Cyber Attack Analysis Framework for Smart Grids
title_short GridAttackAnalyzer: A Cyber Attack Analysis Framework for Smart Grids
title_sort gridattackanalyzer a cyber attack analysis framework for smart grids
topic smart grid
cybersecurity
cyber attack
vulnerability
graphical security modeling
attack graph
url https://www.mdpi.com/1424-8220/22/13/4795
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