IDEAS home Printed from https://ideas.repec.org/a/eee/ijocip/v31y2020ics1874548220300494.html
   My bibliography  Save this article

Network trace generation for flow-based IDS evaluation in control and automation systems

Author

Listed:
  • Ndonda, Gorby Kabasele
  • Sadre, Ramin

Abstract

The increasing number of attacks against Industrial Control Systems (ICS) have demonstrated that there is a need to secure such systems. Unfortunately, directly applying existing ICT security mechanisms is hard due to constraints of ICS, such as availability requirements or resource limitations of the field devices. Thus, the solution preferred by researchers is the use of network-based intrusion detection systems (N-IDS). An issue that many researchers encounter is how to validate and evaluate their N-IDS since it is very difficult to get access to real and large ICS for experimentation. The few public traffic datasets that could be used for off-line experiments are either synthetic, collected at small testbeds or not suited for network experimentations.

Suggested Citation

  • Ndonda, Gorby Kabasele & Sadre, Ramin, 2020. "Network trace generation for flow-based IDS evaluation in control and automation systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 31(C).
    • Handle: RePEc:eee:ijocip:v:31:y:2020:i:c:s1874548220300494
    DOI: 10.1016/j.ijcip.2020.100385
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1874548220300494
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijcip.2020.100385?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Morris, Thomas & Srivastava, Anurag & Reaves, Bradley & Gao, Wei & Pavurapu, Kalyan & Reddi, Ram, 2011. "A control system testbed to validate critical infrastructure protection concepts," International Journal of Critical Infrastructure Protection, Elsevier, vol. 4(2), pages 88-103.
    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. 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).

    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. Singh, Abhishek Narain & Gupta, M.P. & Ojha, Amitabh, 2014. "Identifying critical infrastructure sectors and their dependencies: An Indian scenario," International Journal of Critical Infrastructure Protection, Elsevier, vol. 7(2), pages 71-85.
    2. Urrea, Claudio & Morales, Claudio & Kern, John, 2016. "Implementation of error detection and correction in the Modbus-RTU serial protocol," International Journal of Critical Infrastructure Protection, Elsevier, vol. 15(C), pages 27-37.
    3. Vosughi, Amirkhosro & Tamimi, Ali & King, Alexandra Beatrice & Majumder, Subir & Srivastava, Anurag K., 2022. "Cyber–physical vulnerability and resiliency analysis for DER integration: A review, challenges and research needs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    4. Al-Daweri, Muataz Salam & Abdullah, Salwani & Ariffin, Khairul Akram Zainol, 2021. "A homogeneous ensemble based dynamic artificial neural network for solving the intrusion detection problem," International Journal of Critical Infrastructure Protection, Elsevier, vol. 34(C).
    5. Umer, Muhammad Azmi & Junejo, Khurum Nazir & Jilani, Muhammad Taha & Mathur, Aditya P., 2022. "Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations," International Journal of Critical Infrastructure Protection, Elsevier, vol. 38(C).
    6. 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.
    7. 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).
    8. Bjorn Vaagensmith & Vivek Kumar Singh & Robert Ivans & Daniel L. Marino & Chathurika S. Wickramasinghe & Jacob Lehmer & Tyler Phillips & Craig Rieger & Milos Manic, 2021. "Review of Design Elements within Power Infrastructure Cyber–Physical Test Beds as Threat Analysis Environments," Energies, MDPI, vol. 14(5), pages 1-24, March.
    9. 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).

    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:eee:ijocip:v:31:y:2020:i:c:s1874548220300494. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-critical-infrastructure-protection .

    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.