Residential Demand Response Behaviour Modeling applied to Cyber-physical Intrusion Detection

Kai Heussen, Emil Tyge, Anna Magdalena Kosek

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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    A real-time demand response system can be viewed as a cyber-physical system, with physical systems dependent on cyber infrastructure for coordination and control, which may be vulnerable to cyber-attacks. The time domain dynamic behaviour of individual residential demand responses is governed by a mix of physical system parameters, exogenous influences, user behaviour and preferences, which can be characterized by unstructured models such as a time-varying finite impulse response. In this study, which is based on field data, it is shown
    how this characteristic response behaviours can be identified and how the characterization can be updated continuously. Finally, we propose an approach to apply this behaviour characterization to the identification of anomalous and potentially malicious behaviour modifications as part of a cyber-physical intrusion detection mechanism.
    Original languageEnglish
    Title of host publicationProceedings of 12th IEEE Power and Energy Society PowerTech Conference
    Number of pages6
    Publication date2017
    ISBN (Print)9781509042371
    Publication statusPublished - 2017
    Event12th IEEE Power and Energy Society PowerTech Conference: Towards and Beyond Sustainable Energy Systems - University Place, University of Manchester., Manchester, United Kingdom
    Duration: 18 Jun 201722 Jun 2017


    Conference12th IEEE Power and Energy Society PowerTech Conference
    LocationUniversity Place, University of Manchester.
    Country/TerritoryUnited Kingdom


    • Demand response
    • Cyber-physical systems
    • Intrusion detection
    • Data-driven


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