IDEAS home Printed from https://ideas.repec.org/a/eee/ijocip/v22y2018icp90-99.html
   My bibliography  Save this article

Anomaly behavior detection and reliability assessment of control systems based on association rules

Author

Listed:
  • Jie, Xinchun
  • Wang, Haikuan
  • Fei, Minrui
  • Du, Dajun
  • Sun, Qing
  • Yang, T.C.

Abstract

Because of the high integration of control, communication, computer and network technology, how to deal with various anomaly behaviors of control systems is a problem that should be solved by researchers. Especially some activities such as data injections, DoS attacks and device failure must be considered. Based on the analysis of dynamic behaviors of industrial process control systems with varying process state variables, a data mining method is proposed on summarizing normal behavior features of the control systems. Depending on association rules, a similarity factor is formulated using a real-time data mining method for describing the likeness between real-time frequent itemsets and normal frequent itemsets. Representative values of change behaviors for process variables and the corresponding generation method are illustrated in detail. On the basis of comparison between several real-time frequent itemsets and the normal frequent itemsets, a reliability parameter is given to describe the abnormal status of a control system within a certain time. Simulation results show that the proposed method can detect anomaly behaviors of a process control system in time, which has practical significance in industrial applications.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ijocip:v:22:y:2018:i:c:p:90-99
    DOI: 10.1016/j.ijcip.2018.06.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S187454821730046X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijcip.2018.06.001?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. 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.
    2. Dunlap, Stephen & Butts, Jonathan & Lopez, Juan & Rice, Mason & Mullins, Barry, 2016. "Using timing-based side channels for anomaly detection in industrial control systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 15(C), pages 12-26.
    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. Haller, Piroska & Genge, Béla & Duka, Adrian-Vasile, 2019. "On the practical integration of anomaly detection techniques in industrial control applications," International Journal of Critical Infrastructure Protection, Elsevier, vol. 24(C), pages 48-68.
    2. Choubineh, Abouzar & Wood, David A. & Choubineh, Zahak, 2020. "Applying separately cost-sensitive learning and Fisher's discriminant analysis to address the class imbalance problem: A case study involving a virtual gas pipeline SCADA system," International Journal of Critical Infrastructure Protection, Elsevier, vol. 29(C).
    3. Meng Xia & Dajun Du & Minrui Fei & Xue Li & Taicheng Yang, 2020. "A Novel Sparse Attack Vector Construction Method for False Data Injection in Smart Grids," Energies, MDPI, vol. 13(11), pages 1-19, June.

    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. Saraeian, Shideh & Shirazi, Babak & Motameni, Homayun, 2019. "Adaptive control of criticality infrastructure in automatic closed-loop supply chain considering uncertainty," International Journal of Critical Infrastructure Protection, Elsevier, vol. 25(C), pages 102-124.
    2. 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.
    3. Yadav, Geeta & Paul, Kolin, 2021. "Architecture and security of SCADA systems: A review," International Journal of Critical Infrastructure Protection, Elsevier, vol. 34(C).
    4. 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).

    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:22:y:2018:i:c:p:90-99. 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.