IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2021i1p218-d713858.html
   My bibliography  Save this article

Analyzing the Impact of Cybersecurity on Monitoring and Control Systems in the Energy Sector

Author

Listed:
  • Mohammed Alghassab

    (Electrical Engineering Department, College of Engineering, Shaqra University, Riyadh 11911, Saudi Arabia)

Abstract

Monitoring and control systems in the energy sector are specialized information structures that are not governed by the same information technology standards as the rest of the world’s information systems. Such industrial control systems are also used to handle important infrastructures, including smart grids, oil and gas facilities, nuclear power plants, water management systems, and so on. Industry equipment is handled by systems connected to the internet, either via wireless or cable connectivity, in the present digital age. Further, the system must work without fail, with the system’s availability rate being of paramount importance. Furthermore, to certify that the system is not subject to a cyber-attack, the entire system must be safeguarded against cyber security vulnerabilities, threats, and hazards. In addition, the article looks at and evaluates cyber security evaluations for industrial control systems, as well as their possible impact on the accessibility of industrial control system operations in the energy sector. This research work discovers that the hesitant fuzzy-based method of the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is an operational procedure for estimating industrial control system cyber security assessments by understanding the numerous characteristics and their impacts on cyber security industrial control systems. The author evaluated the outputs of six distinct projects to determine the quality of the outcomes and their sensitivity. According to the results of the robustness analysis, alternative 1 shows the utmost effective cybersecurity project for the industrial control system. This research work will be a conclusive reference for highly secure and managed monitoring and control systems.

Suggested Citation

  • Mohammed Alghassab, 2021. "Analyzing the Impact of Cybersecurity on Monitoring and Control Systems in the Energy Sector," Energies, MDPI, vol. 15(1), pages 1-21, December.
    • Handle: RePEc:gam:jeners:v:15:y:2021:i:1:p:218-:d:713858
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/1/218/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/1/218/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Knowles, William & Prince, Daniel & Hutchison, David & Disso, Jules Ferdinand Pagna & Jones, Kevin, 2015. "A survey of cyber security management in industrial control systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 9(C), pages 52-80.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Justyna Kozłowska & Marco Antônio Benvenga & Irenilza de Alencar Nääs, 2022. "Investment Risk and Energy Security Assessment of European Union Countries Using Multicriteria Analysis," Energies, MDPI, vol. 16(1), pages 1-28, December.
    2. Zia Muhammad & Zahid Anwar & Bilal Saleem & Jahanzeb Shahid, 2023. "Emerging Cybersecurity and Privacy Threats to Electric Vehicles and Their Impact on Human and Environmental Sustainability," Energies, MDPI, vol. 16(3), pages 1-30, January.

    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.
    1. Rodofile, Nicholas R. & Radke, Kenneth & Foo, Ernest, 2019. "Extending the cyber-attack landscape for SCADA-based critical infrastructure," International Journal of Critical Infrastructure Protection, Elsevier, vol. 25(C), pages 14-35.
    2. Juntao Chen & Quanyan Zhu & Tamer Başar, 2021. "Dynamic Contract Design for Systemic Cyber Risk Management of Interdependent Enterprise Networks," Dynamic Games and Applications, Springer, vol. 11(2), pages 294-325, June.
    3. Rajan, Rishabh & Rana, Nripendra P. & Parameswar, Nakul & Dhir, Sanjay & Sushil, & Dwivedi, Yogesh K., 2021. "Developing a modified total interpretive structural model (M-TISM) for organizational strategic cybersecurity management," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    4. Pramod T. C. & Thejas G. S. & S. S. Iyengar & N. R. Sunitha, 2019. "CKMI: Comprehensive Key Management Infrastructure Design for Industrial Automation and Control Systems," Future Internet, MDPI, vol. 11(6), pages 1-25, June.
    5. Eric DuBois & Ashley Peper & Laura A. Albert, 2023. "Interdicting Attack Plans with Boundedly Rational Players and Multiple Attackers: An Adversarial Risk Analysis Approach," Decision Analysis, INFORMS, vol. 20(3), pages 202-219, September.
    6. Vlad Daniel SAVIN & Costel SERBAN, 2019. "Cybersecurity Vulnerabilities And Threats Of Scada Systems In Critical Infrastructures," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 234-237, November.
    7. Jarmakiewicz, Jacek & Parobczak, Krzysztof & Maślanka, Krzysztof, 2017. "Cybersecurity protection for power grid control infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 18(C), pages 20-33.
    8. Mustafa, Faizan E & Ahmed, Ijaz & Basit, Abdul & Alvi, Um-E-Habiba & Malik, Saddam Hussain & Mahmood, Atif & Ali, Paghunda Roheela, 2023. "A review on effective alarm management systems for industrial process control: Barriers and opportunities," International Journal of Critical Infrastructure Protection, Elsevier, vol. 41(C).
    9. CHERIFI, Tarek & HAMAMI, Lamia, 2018. "A practical implementation of unconditional security for the IEC 60780-5-101 SCADA protocol," International Journal of Critical Infrastructure Protection, Elsevier, vol. 20(C), pages 68-84.
    10. Xinzhan Li & Yang Zhou & Xin Li & Lijuan Xu & Dawei Zhao, 2022. "Protection Strategy Selection Model Based on Genetic Ant Colony Optimization Algorithm," Mathematics, MDPI, vol. 10(21), pages 1-24, October.

    Corrections

    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:2021:i:1:p:218-:d:713858. 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.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.