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Topology-aware adaptive inspection for fraud in I4.0 supply chains

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conference contribution
posted on 2022-11-16, 08:34 authored by THOMAS WELSHTHOMAS WELSH, Faeq AlrimawiFaeq Alrimawi, Ali FarahaniAli Farahani, DIANE HASSETTDIANE HASSETT, Andrea Zisman, Bashar NuseibehBashar Nuseibeh

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 paper, we contribute to supporting optimal inspection decisions of dynamic cyber-physical supply chains through the use of structural representations - topologies of the supply chain, physical premises, and their production context. We present an approach for topology modelling 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%. 

Funding

Confirm Centre for Smart Manufacturing

Science Foundation Ireland

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Lero - the Irish Software Research Centre

Science Foundation Ireland

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ENABLE: Connecting communities to smart urban environments through the Internet of Things

Science Foundation Ireland

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SAUSE: Secure, Adaptive, Usable Software Engineering

Engineering and Physical Sciences Research Council

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UK Manufacturing Symbiosis NetworkPlus (UKMSN+)

Engineering and Physical Sciences Research Council

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History

Publication

IEEE Transactions on Industrial Informatics

Publisher

IEEE Computer Society

Also affiliated with

  • LERO - The Irish Software Research Centre

Department or School

  • Computer Science & Information Systems

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