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Experimental assessment of network design approaches for protecting industrial control systems

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  • Genge, Béla
  • Graur, Flavius
  • Haller, Piroska

Abstract

This paper surveys and provides experimental results related to network design techniques focused on enhancing the security of industrial control systems. It analyzes defense-in-depth strategies, network segmentation, network firewall configurations and the role of intrusion prevention systems, intrusion detection systems and anomaly detection systems. The paper also studies the applicability of emerging technologies in the area of IP networks, including software-defined networking, network functions virtualization and next generation firewalls in securing industrial control systems. The main contribution of this paper is the experimental assessment of existing and future network design approaches in the presence of real malware (e.g., Stuxnet) and synthetic attacks (e.g., denial-of-service attacks). The experimental results confirm the importance of defense-in-depth strategies and also highlight the embryonic state of software-defined networking security, which requires profound transformation and validation in order to be embraced by the industrial control system community.

Suggested Citation

  • Genge, Béla & Graur, Flavius & Haller, Piroska, 2015. "Experimental assessment of network design approaches for protecting industrial control systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 11(C), pages 24-38.
    • Handle: RePEc:eee:ijocip:v:11:y:2015:i:c:p:24-38
    DOI: 10.1016/j.ijcip.2015.07.005
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    References listed on IDEAS

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    1. Krotofil, Marina & Cárdenas, Alvaro & Larsen, Jason & Gollmann, Dieter, 2014. "Vulnerabilities of cyber-physical systems to stale data—Determining the optimal time to launch attacks," International Journal of Critical Infrastructure Protection, Elsevier, vol. 7(4), pages 213-232.
    2. Genge, Béla & Siaterlis, Christos, 2013. "Analysis of the effects of distributed denial-of-service attacks on MPLS networks," International Journal of Critical Infrastructure Protection, Elsevier, vol. 6(2), pages 87-95.
    3. Goldenberg, Niv & Wool, Avishai, 2013. "Accurate modeling of Modbus/TCP for intrusion detection in SCADA systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 6(2), pages 63-75.
    4. Barbosa, Rafael Ramos Regis & Sadre, Ramin & Pras, Aiko, 2013. "Flow whitelisting in SCADA networks," International Journal of Critical Infrastructure Protection, Elsevier, vol. 6(3), pages 150-158.
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    Cited by:

    1. Jie, Xinchun & Wang, Haikuan & Fei, Minrui & Du, Dajun & Sun, Qing & Yang, T.C., 2018. "Anomaly behavior detection and reliability assessment of control systems based on association rules," International Journal of Critical Infrastructure Protection, Elsevier, vol. 22(C), pages 90-99.
    2. Yadav, Geeta & Paul, Kolin, 2021. "Architecture and security of SCADA systems: A review," International Journal of Critical Infrastructure Protection, Elsevier, vol. 34(C).
    3. Baxley, Stuart M. & Bastin, Nicholas & Gurkan, Deniz & Conklin, William Arthur, 2022. "Feasibility of critical infrastructure protection using network functions for programmable and decoupled ICS policy enforcement over WAN," International Journal of Critical Infrastructure Protection, Elsevier, vol. 39(C).
    4. 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.

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