Cargando…
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...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268941/ https://www.ncbi.nlm.nih.gov/pubmed/35808292 http://dx.doi.org/10.3390/s22134795 |
_version_ | 1784744110839562240 |
---|---|
author | Le, Tan Duy Ge, Mengmeng Anwar, Adnan Loke, Seng W. Beuran, Razvan Doss, Robin Tan, Yasuo |
author_facet | Le, Tan Duy Ge, Mengmeng Anwar, Adnan Loke, Seng W. Beuran, Razvan Doss, Robin Tan, Yasuo |
author_sort | Le, Tan Duy |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9268941 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92689412022-07-09 GridAttackAnalyzer: A Cyber Attack Analysis Framework for Smart Grids Le, Tan Duy Ge, Mengmeng Anwar, Adnan Loke, Seng W. Beuran, Razvan Doss, Robin Tan, Yasuo Sensors (Basel) Article 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. MDPI 2022-06-24 /pmc/articles/PMC9268941/ /pubmed/35808292 http://dx.doi.org/10.3390/s22134795 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Le, Tan Duy Ge, Mengmeng Anwar, Adnan Loke, Seng W. Beuran, Razvan Doss, Robin Tan, Yasuo GridAttackAnalyzer: A Cyber Attack Analysis Framework for Smart Grids |
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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268941/ https://www.ncbi.nlm.nih.gov/pubmed/35808292 http://dx.doi.org/10.3390/s22134795 |
work_keys_str_mv | AT letanduy gridattackanalyzeracyberattackanalysisframeworkforsmartgrids AT gemengmeng gridattackanalyzeracyberattackanalysisframeworkforsmartgrids AT anwaradnan gridattackanalyzeracyberattackanalysisframeworkforsmartgrids AT lokesengw gridattackanalyzeracyberattackanalysisframeworkforsmartgrids AT beuranrazvan gridattackanalyzeracyberattackanalysisframeworkforsmartgrids AT dossrobin gridattackanalyzeracyberattackanalysisframeworkforsmartgrids AT tanyasuo gridattackanalyzeracyberattackanalysisframeworkforsmartgrids |