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      An investigation of self-learning and self-protection for Adaptive Digital Twins

      Anderson-Scott, Chris
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      Anderson-Scott, C. (2021). An investigation of self-learning and self-protection for Adaptive Digital Twins (Thesis, Master of Science (Research) (MSc(Research))). The University of Waikato, Hamilton, New Zealand. Retrieved from https://hdl.handle.net/10289/14536
      Permanent Research Commons link: https://hdl.handle.net/10289/14536
      Abstract
      Adaptive Digital Twins are applicable to a number of fields, including the cybersecurity of industial control systems. This thesis prototypes a Self-Learning adaptive digital twin and posits an architecture for the creation of digital twins based on the learnings gained from the prototype. The prototype shows the efficacy of control theoretical approaches for adaptive digital twins for both modelling and protecting a system, and the architecture posits a generalised method for developing adaptive digital twins.
      Date
      2021
      Type
      Thesis
      Degree Name
      Master of Science (Research) (MSc(Research))
      Supervisors
      Patros, Panos
      Walmsley, Timothy Gordon
      Publisher
      The University of Waikato
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      All items in Research Commons are provided for private study and research purposes and are protected by copyright with all rights reserved unless otherwise indicated.
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      • Masters Degree Theses [2296]
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