Multiattribute SCADA-specific intrusion detection system for power networks

Yi Yang, Kieran McLaughlin, Sakir Sezer, Timothy Littler, Eul Gyu Im, Bernardi Pranggono, Haifeng Wang

    Research output: Contribution to journalArticlepeer-review

    122 Citations (Scopus)


    The increased interconnectivity and complexity of supervisory control and data acquisition (SCADA) systems in power system networks has exposed the systems to a multitude of potential vulnerabilities. In this paper, we present a novel approach for a next-generation SCADA-specific intrusion detection system (IDS). The proposed system analyzes multiple attributes in order to provide a comprehensive solution that is able to mitigate varied cyberattack threats. The multiattribute IDS comprises a heterogeneous white list and behavior-based concept in order to make SCADA cybersystems more secure. This paper also proposes a multilayer cyber-security framework based on IDS for protecting SCADA cybersecurity in smart grids without compromising the availability of normal data. In addition, this paper presents a SCADA-specific cybersecurity testbed to investigate simulated attacks, which has been used in this paper to validate the proposed approach.

    Original languageEnglish
    Pages (from-to)1092-1102
    Number of pages11
    JournalIEEE Transactions on Power Delivery
    Issue number3
    Early online date19 Feb 2014
    Publication statusPublished - Jun 2014


    • power systems
    • cybersystems
    • smart grids
    • smart grid
    • Cybersecurity
    • intrusion detection
    • supervisory control and data acquisition (SCADA)


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