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The Digital Twin (DT) technology shifts the monitoring and control of physical assets into cyberspace through IoT, network, and simulation technologies. However, new challenges have arisen regarding the admissibility of evidence collected from Digital Twin environments. In this paper, we examine the features and challenges that the Digital Twin technology presents to digital forensic science. We propose a new architectural model to guide the implementation of a forensically sound environment. Additionally, we introduce a new knowledge model representation that encompasses all forensic requirements to ensure the admissibility of evidence replicas. We propose a new forensic adversary model to formally analyze the preservation of forensic requirements.
