A time-series self-supervised learning approach to detection of cyber-physical attacks in water distribution systems

Haitham Mahmoud (Corresponding / Lead Author), Wenyan Wu, Mohamed Gaber

    Research output: Contribution to journalArticlepeer-review

    11 Citations (SciVal)
    Original languageEnglish
    Article number914
    Pages (from-to)914
    JournalEnergies
    Volume15
    Issue number3
    DOIs
    Publication statusPublished (VoR) - 27 Jan 2022
    EventEuropean Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Training Networks (ITN)-IoT4Win grant agreement No. [765921]. -
    Duration: 1 Sept 2018 → …

    Keywords

    • Attack detection
    • Data intelligence
    • Industrial cyber-physical systems
    • Self-supervised learning
    • Water distribution system

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