Intrusion Detection in SCADA Networks

R.R.R. Barbosa, Aiko Pras

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

    31 Citations (Scopus)
    514 Downloads (Pure)

    Abstract

    Supervisory Control and Data Acquisition (SCADA) sys- tems are a critical part of large industrial facilities, such as water dis- tribution infrastructures. With the goal of reducing costs and increas- ing efficiency, these systems are becoming increasingly interconnected. However, this has also exposed them to a wide range of network security problems. Our research focus on the development of a novel flow-based intrusion detection system. Based on the assumption that SCADA net- works are well-behaved, we believe that it is possible to model the normal traffic by establishing relations between network flows. To improve ac- curacy and provide more information on the anomalous traffic, we will also research methods to derive a flow-based model for anomalous flows.
    Original languageUndefined
    Title of host publication4th International Conference on Autonomous Infrastructure, Management and Security (AIMS 2010)
    EditorsBurckhard Stiller, Filip De Turck
    Place of PublicationBerlin
    PublisherSpringer
    Pages163-166
    Number of pages4
    ISBN (Print)978-3-642-13985-7
    DOIs
    Publication statusPublished - Jun 2010
    Event4th International Conference on Autonomous Infrastructure, Management and Security, AIMS 2010 - Zurich, Switzerland
    Duration: 23 Jun 201025 Jun 2010

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume6155

    Workshop

    Workshop4th International Conference on Autonomous Infrastructure, Management and Security, AIMS 2010
    Period23/06/1025/06/10
    OtherJune 23-25, 2010

    Keywords

    • METIS-270983
    • IR-72612
    • EWI-18304
    • Intrusion Detection
    • SCADA

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