IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v233y2019i2p151-174.html
   My bibliography  Save this article

A new safety and security risk analysis framework for industrial control systems

Author

Listed:
  • Siwar Kriaa
  • Marc Bouissou
  • Youssef Laarouchi

Abstract

The migration of modern industrial control systems toward information and communication technologies exposes them to cyber-attacks that can alter the way they function, thereby causing adverse consequences on the system and its environment. It has consequently become crucial to consider security risks in traditional safety risk analyses for industrial systems controlled by modern industrial control system. We propose in this article a new framework for safety and security joint risk analysis for industrial control systems. S-cube (for supervisory control and data acquisition safety and security joint modeling) is a new model-based approach that enables, thanks to a knowledge base, formal modeling of the physical and functional architecture of cyber-physical systems and automatic generation of a qualitative and quantitative analysis encompassing safety risks (accidental) and security risks (malicious). We first give the principle and rationale of S-cube and then we illustrate its inputs and outputs on a case study.

Suggested Citation

  • Siwar Kriaa & Marc Bouissou & Youssef Laarouchi, 2019. "A new safety and security risk analysis framework for industrial control systems," Journal of Risk and Reliability, , vol. 233(2), pages 151-174, April.
    • Handle: RePEc:sae:risrel:v:233:y:2019:i:2:p:151-174
    DOI: 10.1177/1748006X18765885
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1748006X18765885
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1748006X18765885?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hauge, S. & Hokstad, P. & HÃ¥brekke, S. & Lundteigen, M.A., 2016. "Common cause failures in safety-instrumented systems: Using field experience from the petroleum industry," Reliability Engineering and System Safety, Elsevier, vol. 151(C), pages 34-45.
    2. Genge, Béla & Kiss, István & Haller, Piroska, 2015. "A system dynamics approach for assessing the impact of cyber attacks on critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 10(C), pages 3-17.
    3. Kriaa, Siwar & Pietre-Cambacedes, Ludovic & Bouissou, Marc & Halgand, Yoran, 2015. "A survey of approaches combining safety and security for industrial control systems," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 156-178.
    Full references (including those not matched with items on IDEAS)

    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. Michał Syfert & Andrzej Ordys & Jan Maciej Kościelny & Paweł Wnuk & Jakub Możaryn & Krzysztof Kukiełka, 2022. "Integrated Approach to Diagnostics of Failures and Cyber-Attacks in Industrial Control Systems," Energies, MDPI, vol. 15(17), pages 1-24, August.
    2. Hayes, Darren R. & Cappa, Francesco, 2018. "Open-source intelligence for risk assessment," Business Horizons, Elsevier, vol. 61(5), pages 689-697.
    3. Wang, Wei & Cammi, Antonio & Di Maio, Francesco & Lorenzi, Stefano & Zio, Enrico, 2018. "A Monte Carlo-based exploration framework for identifying components vulnerable to cyber threats in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 24-37.
    4. González, Santiago G. & Dormido Canto, S. & Sánchez Moreno, José, 2020. "Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cells," International Journal of Critical Infrastructure Protection, Elsevier, vol. 29(C).
    5. Kim, Hee Eun & Son, Han Seong & Kim, Jonghyun & Kang, Hyun Gook, 2017. "Systematic development of scenarios caused by cyber-attack-induced human errors in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 290-301.
    6. Zio, E., 2018. "The future of risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 176-190.
    7. Iaiani, Matteo & Tugnoli, Alessandro & Macini, Paolo & Cozzani, Valerio, 2021. "Outage and asset damage triggered by malicious manipulation of the control system in process plants," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    8. Chatzis, Petros & Stavrou, Eliana, 2022. "Cyber-threat landscape of border control infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 36(C).
    9. Bolbot, Victor & Kulkarni, Ketki & Brunou, Päivi & Banda, Osiris Valdez & Musharraf, Mashrura, 2022. "Developments and research directions in maritime cybersecurity: A systematic literature review and bibliometric analysis," International Journal of Critical Infrastructure Protection, Elsevier, vol. 39(C).
    10. Meng, Huixing & Kloul, Leïla & Rauzy, Antoine, 2018. "Modeling patterns for reliability assessment of safety instrumented systems," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 111-123.
    11. Cheng, Ruijun & Cheng, Yu & Chen, Dewang & Song, Haifeng, 2021. "Online quantitative safety monitoring approach for unattended train operation system considering stochastic factors," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    12. Yu, Yaocheng & Shuai, Bin & Huang, Wencheng, 2024. "Resilience evaluation of train control on-board system considering common cause failure: Based on a beta-factor and continuous-time bayesian network model," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
    13. Carreras Guzman, Nelson H. & Zhang, Jin & Xie, Jing & Glomsrud, Jon Arne, 2021. "A Comparative Study of STPA-Extension and the UFoI-E Method for Safety and Security Co-analysis," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    14. Qianxiang Zhu & Yuanqing Qin & Chunjie Zhou & Weiwei Gao, 2018. "Extended multilevel flow model-based dynamic risk assessment for cybersecurity protection in industrial production systems," International Journal of Distributed Sensor Networks, , vol. 14(6), pages 15501477187, June.
    15. Galbraith, John W. & Iuliani, Luca, 2019. "Measures of robustness for networked critical infrastructure: An empirical comparison on four electrical grids," International Journal of Critical Infrastructure Protection, Elsevier, vol. 27(C).
    16. Chatterjee, Samrat & Thekdi, Shital, 2020. "An iterative learning and inference approach to managing dynamic cyber vulnerabilities of complex systems," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    17. Adrian-Silviu Roman, 2023. "Evaluating the Privacy and Utility of Time-Series Data Perturbation Algorithms," Mathematics, MDPI, vol. 11(5), pages 1-21, March.
    18. Bolbot, Victor & Theotokatos, Gerasimos & Bujorianu, Luminita Manuela & Boulougouris, Evangelos & Vassalos, Dracos, 2019. "Vulnerabilities and safety assurance methods in Cyber-Physical Systems: A comprehensive review," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 179-193.
    19. Ahmed Shokry & Piero Baraldi & Andrea Castellano & Luigi Serio & Enrico Zio, 2021. "Identification of Critical Components in the Complex Technical Infrastructure of the Large Hadron Collider Using Relief Feature Ranking and Support Vector Machines," Energies, MDPI, vol. 14(18), pages 1-19, September.
    20. Leszczyna, Rafał, 2018. "Standards on cyber security assessment of smart grid," International Journal of Critical Infrastructure Protection, Elsevier, vol. 22(C), pages 70-89.

    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:sae:risrel:v:233:y:2019:i:2:p:151-174. 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: SAGE Publications (email available below). General contact details of provider: .

    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.