Towards Periodicity Based Anomaly Detection in SCADA Networks

R.R.R. Barbosa, R. Sadre, Aiko Pras

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    32 Citations (Scopus)
    349 Downloads (Pure)

    Abstract

    Supervisory Control and Data Acquisition (SCADA) networks are commonly deployed to aid the operation of large industrial facilities. The polling mechanism used to retrieve data from field devices causes the data transmission to be highly periodic. In this paper, we propose an approach that exploits traffic periodicity to detect traffic anomalies, which represent potential intrusion attempts. We present a proof of concept to show the feasibility of our approach.
    Original languageEnglish
    Title of host publicationIEEE 17th Conference on Emerging Technologies & Factory Automation, ETFA 2012
    Place of PublicationUSA
    PublisherIEEE Industrial Electronics Society
    Pages1-4
    Number of pages4
    ISBN (Print)978-1-4673-4737-2
    DOIs
    Publication statusPublished - Sep 2012
    Event17th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2012 - Krakow, Poland
    Duration: 17 Sep 201221 Sep 2012
    Conference number: 17

    Publication series

    Name
    PublisherIEEE Industrial Electronics Society

    Conference

    Conference17th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2012
    Abbreviated titleETFA
    CountryPoland
    CityKrakow
    Period17/09/1221/09/12

    Keywords

    • METIS-289696
    • IR-83358
    • EWI-22265
    • SCADA
    • CR-C.2.3
    • Anomaly Detection

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  • Cite this

    Barbosa, R. R. R., Sadre, R., & Pras, A. (2012). Towards Periodicity Based Anomaly Detection in SCADA Networks. In IEEE 17th Conference on Emerging Technologies & Factory Automation, ETFA 2012 (pp. 1-4). USA: IEEE Industrial Electronics Society. https://doi.org/10.1109/ETFA.2012.6489745