Expert-Guided Security Risk Assessment of Evolving Power Grids
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Shahid Tufail & Imtiaz Parvez & Shanzeh Batool & Arif Sarwat, 2021. "A Survey on Cybersecurity Challenges, Detection, and Mitigation Techniques for the Smart Grid," Energies, MDPI, vol. 14(18), pages 1-22, September.
- Farzam Nejabatkhah & Yun Wei Li & Hao Liang & Rouzbeh Reza Ahrabi, 2020. "Cyber-Security of Smart Microgrids: A Survey," Energies, MDPI, vol. 14(1), pages 1-27, December.
- Chenyang Liu & Yazeed Alrowaili & Neetesh Saxena & Charalambos Konstantinou, 2021. "Cyber Risks to Critical Smart Grid Assets of Industrial Control Systems," Energies, MDPI, vol. 14(17), pages 1-19, September.
- Abel Yeboah-Ofori & Shareeful Islam, 2019. "Cyber Security Threat Modeling for Supply Chain Organizational Environments," Future Internet, MDPI, vol. 11(3), pages 1-25, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Mostafa Shokry & Ali Ismail Awad & Mahmoud Khaled Abd-Ellah & Ashraf A. M. Khalaf, 2023. "When Security Risk Assessment Meets Advanced Metering Infrastructure: Identifying the Appropriate Method," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
- Jianguo Ding & Attia Qammar & Zhimin Zhang & Ahmad Karim & Huansheng Ning, 2022. "Cyber Threats to Smart Grids: Review, Taxonomy, Potential Solutions, and Future Directions," Energies, MDPI, vol. 15(18), pages 1-37, September.
- Diao, Xiaoxu & Zhao, Yunfei & Smidts, Carol & Vaddi, Pavan Kumar & Li, Ruixuan & Lei, Hangtian & Chakhchoukh, Yacine & Johnson, Brian & Blanc, Katya Le, 2024. "Dynamic probabilistic risk assessment for electric grid cybersecurity," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
- Michał Bajor & Marcin Niemiec, 2022. "An Asynchronous AAA Blockchain-Based Protocol for Configuring Information Systems," Energies, MDPI, vol. 15(18), pages 1-19, September.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Arman Goudarzi & Farzad Ghayoor & Muhammad Waseem & Shah Fahad & Issa Traore, 2022. "A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook," Energies, MDPI, vol. 15(19), pages 1-32, September.
- Jianguo Ding & Attia Qammar & Zhimin Zhang & Ahmad Karim & Huansheng Ning, 2022. "Cyber Threats to Smart Grids: Review, Taxonomy, Potential Solutions, and Future Directions," Energies, MDPI, vol. 15(18), pages 1-37, September.
- Sulman Shahzad & Muhammad Abbas Abbasi & Hassan Ali & Muhammad Iqbal & Rania Munir & Heybet Kilic, 2023. "Possibilities, Challenges, and Future Opportunities of Microgrids: A Review," Sustainability, MDPI, vol. 15(8), pages 1-28, April.
- Ren Liu & Hussain M. Mustafa & Zhijie Nie & Anurag K. Srivastava, 2022. "Reachability-Based False Data Injection Attacks and Defence Mechanisms for Cyberpower System," Energies, MDPI, vol. 15(5), pages 1-18, February.
- Aron Kondoro & Imed Ben Dhaou & Hannu Tenhunen & Nerey Mvungi, 2021. "A Low Latency Secure Communication Architecture for Microgrid Control," Energies, MDPI, vol. 14(19), pages 1-26, October.
- Matthew Boeding & Kelly Boswell & Michael Hempel & Hamid Sharif & Juan Lopez & Kalyan Perumalla, 2022. "Survey of Cybersecurity Governance, Threats, and Countermeasures for the Power Grid," Energies, MDPI, vol. 15(22), pages 1-22, November.
- Wadim Strielkowski & Andrey Vlasov & Kirill Selivanov & Konstantin Muraviev & Vadim Shakhnov, 2023. "Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review," Energies, MDPI, vol. 16(10), pages 1-31, May.
- Seung-Mo Je & Hanchul Woo & Jaehyeon Choi & Se-Hoon Jung & Jun-Ho Huh, 2022. "A Research Trend on Anonymous Signature and Authentication Methods for Privacy Invasion Preventability on Smart Grid and Power Plant Environments," Energies, MDPI, vol. 15(12), pages 1-20, June.
- Hamdi Abdi, 2022. "A Brief Review of Microgrid Surveys, by Focusing on Energy Management System," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
- Wojciech Szczepanik & Marcin Niemiec, 2022. "Heuristic Intrusion Detection Based on Traffic Flow Statistical Analysis," Energies, MDPI, vol. 15(11), pages 1-19, May.
- Aiman J. Albarakati & Mohamed Azeroual & Younes Boujoudar & Lahcen EL Iysaouy & Ayman Aljarbouh & Asifa Tassaddiq & Hassane EL Markhi, 2022. "Multi-Agent-Based Fault Location and Cyber-Attack Detection in Distribution System," Energies, MDPI, vol. 16(1), pages 1-16, December.
- Ali, Imran & Arslan, Ahmad & Chowdhury, Maruf & Khan, Zaheer & Tarba, Shlomo Y., 2022. "Reimagining global food value chains through effective resilience to COVID-19 shocks and similar future events: A dynamic capability perspective," Journal of Business Research, Elsevier, vol. 141(C), pages 1-12.
- Richard Wallsgrove & Jisuk Woo & Jae-Hyup Lee & Lorraine Akiba, 2021. "The Emerging Potential of Microgrids in the Transition to 100% Renewable Energy Systems," Energies, MDPI, vol. 14(6), pages 1-28, March.
- Maciej Sawka & Marcin Niemiec, 2022. "A Sponge-Based Key Expansion Scheme for Modern Block Ciphers," Energies, MDPI, vol. 15(19), pages 1-18, September.
- Nazir, Lubna & Sharifi, Ayyoob, 2024. "An analysis of barriers to the implementation of smart grid technology in Pakistan," Renewable Energy, Elsevier, vol. 220(C).
- Berghout, Tarek & Benbouzid, Mohamed, 2022. "EL-NAHL: Exploring labels autoencoding in augmented hidden layers of feedforward neural networks for cybersecurity in smart grids," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
- Smitha Joyce Pinto & Pierluigi Siano & Mimmo Parente, 2023. "Review of Cybersecurity Analysis in Smart Distribution Systems and Future Directions for Using Unsupervised Learning Methods for Cyber Detection," Energies, MDPI, vol. 16(4), pages 1-24, February.
- Olga Zhironkina & Sergey Zhironkin, 2023. "Technological and Intellectual Transition to Mining 4.0: A Review," Energies, MDPI, vol. 16(3), pages 1-37, February.
- Berghout, Tarek & Benbouzid, Mohamed & Muyeen, S.M., 2022. "Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects," International Journal of Critical Infrastructure Protection, Elsevier, vol. 38(C).
- Mikołaj Gwiazdowicz & Marek Natkaniec, 2023. "Feature Selection and Model Evaluation for Threat Detection in Smart Grids," Energies, MDPI, vol. 16(12), pages 1-25, June.
More about this item
Keywords
smart grids; power grids; cybersecurity; security risk assessment;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3237-:d:804677. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.