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• W4312612593 abstract "Supply chain fraud involving counterfeit or adulterated products presents threats to human health and safety. Quality inspection is a key fraud mitigation tool where inspection planning involves allocating inspection resources across geographically dispersed assets considering both the cost and value of the inspection. I4.0 environments pose further challenges as their heterogeneous and dynamic cyber-physical environment creates a large inspection resource allocation solution space, causing the corresponding analysis to be computationally complex. In this article, we contribute to supporting optimal inspection decisions of dynamic cyber-physical supply chains through the use of structural representations— <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>topologies</i> of the supply chain, physical premises, and their production context. We present an approach for topology modeling of supply chains and illustrate its use within an adaptive inspection approach, showing that structural information can reduce malicious process discovery times by up to 90%." @default.
• W4312612593 created "2023-01-05" @default.
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• W4312612593 date "2023-04-01" @default.
• W4312612593 modified "2023-10-18" @default.
• W4312612593 title "Topology-Aware Adaptive Inspection for Fraud in I4.0 Supply Chains" @default.
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• W4312612593 doi "https://doi.org/10.1109/tii.2022.3205369" @default.
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