Abstract
Digital twin technologies – comprised of data-rich models and machine learning – allow the operators of smart city applications to gain an accurate representation of complex cyber-physical models. However, the implicit need for resilient data protection must be achieved by integrating privacy-preserving mechanisms into the DT system design as part of an effective defence-in-depth strategy.
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