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Securing SCADA and critical industrial systems: From needs to security mechanisms

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  • Abou el Kalam, Anas

Abstract

Supervisory control and data acquisition (SCADA) systems are used in critical infrastructure to control vital sectors such as smart grids, oil pipelines, water treatment, chemical manufacturing plants, etc. Any malicious or accidental intrusion could cause dramatic human, material and economic damages. Thus, the security of the SCADA is very important, not only to keep the continuity of services (i.e., availability) against hostile and cyber-terrorist attacks, but also to ensure the resilience and integrity of processes and actions. Dealing with this issue, this paper discusses SCADA vulnerabilities and security threats, with a focus on recent ones. Then, we define a holistic methodology to derive the suitable security mechanisms for this kind of critical systems. Our methodology starts by identifying the security needs and objectives, specifying the security policies and models, deriving the adapted architecture and, finally, implementing the security mechanisms that satisfy the needs and cover the risks. We focus on the modelling step by proposing the new CI-OrBAC model. In this paper, we focused on securing communication and protecting SCADA against both internal and external threats while satisfying the self-healing, intrusion tolerance, integrity, scalability and collaboration needs.

Suggested Citation

  • Abou el Kalam, Anas, 2021. "Securing SCADA and critical industrial systems: From needs to security mechanisms," International Journal of Critical Infrastructure Protection, Elsevier, vol. 32(C).
    • Handle: RePEc:eee:ijocip:v:32:y:2021:i:c:s1874548220300585
    DOI: 10.1016/j.ijcip.2020.100394
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    References listed on IDEAS

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    1. Abou El Kalam, A. & Deswarte, Y. & Baïna, A. & Kaâniche, M., 2009. "PolyOrBAC: A security framework for Critical Infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 2(4), pages 154-169.
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    Cited by:

    1. Wang, Wu & Harrou, Fouzi & Bouyeddou, Benamar & Senouci, Sidi-Mohammed & Sun, Ying, 2022. "Cyber-attacks detection in industrial systems using artificial intelligence-driven methods," International Journal of Critical Infrastructure Protection, Elsevier, vol. 38(C).
    2. Alaa O. Khadidos & Hariprasath Manoharan & Shitharth Selvarajan & Adil O. Khadidos & Khaled H. Alyoubi & Ayman Yafoz, 2022. "A Classy Multifacet Clustering and Fused Optimization Based Classification Methodologies for SCADA Security," Energies, MDPI, vol. 15(10), pages 1-24, May.
    3. Oyeniyi Akeem Alimi & Khmaies Ouahada & Adnan M. Abu-Mahfouz & Suvendi Rimer & Kuburat Oyeranti Adefemi Alimi, 2021. "A Review of Research Works on Supervised Learning Algorithms for SCADA Intrusion Detection and Classification," Sustainability, MDPI, vol. 13(17), pages 1-19, August.

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