FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3045907724> ?p ?o ?g. }

• W3045907724 abstract "Anti-counterfeiting and provenance determination are seriousconcerns in many industries, including automotive, aerospace, and defense. Theseconcerns are addressed by ensuring traceability during manufacturing,transport, and use of goods. In increasingly globalized manufacturing contexts,one-size-fits-all traceability solutions are not always appropriate. Manufacturersmay not have the means to re-tool production to meet marking, tagging, or othertraceability requirements. This is especially true when manufacturers requirehigh processing flexibility to produce specialized parts, as is increasinglythe case in modern supply chains. Counterfeiters and saboteurs, meanwhile, havea growing attack surface over which to interfere with existing supply chains,and have a leg up when implementation details of traceability methods arewidely known. There is a growing need to provide solutions to traceability thati) are particularized to specific industrial contexts with heterogeneoussecurity and robustness requirements, and ii) reliably transmit informationneeded for traceability throughout the product life cycle. This dissertation presents investigations into tailorabletraceability schemes for modern manufacturing, with a focus on applications inadditive manufacturing. The primary contributions of this dissertation areframeworks for designing traceability schemes that i) achieve traceabilitythrough recovery of manufacturer-specified signals, from simple identityinformation to more detailed strings of provenance data, and ii) are tuned tomaximize information carrying capacity subject to the available data andintended use cases faced by the manufacturer.In the vein of physically unclonable function (PUF)literature, these frameworks leverage the intrinsic information present inmaterial structure, such as phase or grain statistics. These structures, beingfunctions of largely random and uncontrollable physical and chemical processes,are by their nature uncontrollable by a manufacturer. According to the frameworks proposed in thisdissertation, anti-counterfeiting and traceability schemes are designed byextracting large libraries of features from these properties, and designingmethods for identifying parts based on a subset of the extracted features thatdemonstrate good utility for the present use case. Such schemes are customizedto handle specific material systems, metrology, expected part damage, and otherconcerns raised by a manufacturer or other supply chain stakeholders.First, this dissertation presents a framework that leveragesthis intrinsic information, and models for damage that may occur during use,for designing schemes for genuinity determination. Such schemes are useful incontexts like anti-counterfeiting and part tracing. Once this framework isestablished, it is then extended to design schemes for dynamically and securelyembedding manufacturer-specified messages during the manufacturing process,with a focus on implementation in additive manufacturing. Such schemes leverageboth the intrinsic information inherent to the material / manufacturing processand extrinsically introduced information. This extrinsic information mayinclude cryptographic keys, message information, and specifications regardinghow an authorized user may read the embedded message. The resulting embeddingschemes are formalized as malleable PUFs.'' The outcomes of these investigations are frameworks fordesigning, evaluating, and implementing traceability schemes that can be usedby manufacturers, academics, and other stakeholders seeking to implement secureand informative traceability schemes subject to their own unique constraints. Importantly, these frameworks can be adaptedfor a range of industrial contexts, and can be readily extended as new methodsfor in-situ measurement and control in additive manufacturing are developed." @default.
• W3045907724 created "2020-08-03" @default.
• W3045907724 creator A5044542703 @default.
• W3045907724 date "2020-07-29" @default.
• W3045907724 modified "2023-09-27" @default.
• W3045907724 title "Tailored Traceability and Provenance Determination in Manufacturing" @default.
• W3045907724 doi "https://doi.org/10.25394/pgs.12735854.v1" @default.
• W3045907724 hasPublicationYear "2020" @default.
• W3045907724 type Work @default.
• W3045907724 sameAs 3045907724 @default.
• W3045907724 citedByCount "0" @default.
• W3045907724 crossrefType "dissertation" @default.
• W3045907724 hasAuthorship W3045907724A5044542703 @default.
• W3045907724 hasConcept C108713360 @default.
• W3045907724 hasConcept C112930515 @default.
• W3045907724 hasConcept C115903868 @default.
• W3045907724 hasConcept C117671659 @default.
• W3045907724 hasConcept C119857082 @default.
• W3045907724 hasConcept C127413603 @default.
• W3045907724 hasConcept C135475081 @default.
• W3045907724 hasConcept C144133560 @default.
• W3045907724 hasConcept C153083717 @default.
• W3045907724 hasConcept C153876917 @default.
• W3045907724 hasConcept C162853370 @default.
• W3045907724 hasConcept C199360897 @default.
• W3045907724 hasConcept C201995342 @default.
• W3045907724 hasConcept C2777904410 @default.
• W3045907724 hasConcept C35084680 @default.
• W3045907724 hasConcept C41008148 @default.
• W3045907724 hasConcept C59488412 @default.
• W3045907724 hasConceptScore W3045907724C108713360 @default.
• W3045907724 hasConceptScore W3045907724C112930515 @default.
• W3045907724 hasConceptScore W3045907724C115903868 @default.
• W3045907724 hasConceptScore W3045907724C117671659 @default.
• W3045907724 hasConceptScore W3045907724C119857082 @default.
• W3045907724 hasConceptScore W3045907724C127413603 @default.
• W3045907724 hasConceptScore W3045907724C135475081 @default.
• W3045907724 hasConceptScore W3045907724C144133560 @default.
• W3045907724 hasConceptScore W3045907724C153083717 @default.
• W3045907724 hasConceptScore W3045907724C153876917 @default.
• W3045907724 hasConceptScore W3045907724C162853370 @default.
• W3045907724 hasConceptScore W3045907724C199360897 @default.
• W3045907724 hasConceptScore W3045907724C201995342 @default.
• W3045907724 hasConceptScore W3045907724C2777904410 @default.
• W3045907724 hasConceptScore W3045907724C35084680 @default.
• W3045907724 hasConceptScore W3045907724C41008148 @default.
• W3045907724 hasConceptScore W3045907724C59488412 @default.
• W3045907724 hasLocation W30459077241 @default.
• W3045907724 hasOpenAccess W3045907724 @default.
• W3045907724 hasPrimaryLocation W30459077241 @default.
• W3045907724 hasRelatedWork W1600350984 @default.
• W3045907724 hasRelatedWork W1604969957 @default.
• W3045907724 hasRelatedWork W2010612313 @default.
• W3045907724 hasRelatedWork W2028602837 @default.
• W3045907724 hasRelatedWork W2044715671 @default.
• W3045907724 hasRelatedWork W2050176327 @default.
• W3045907724 hasRelatedWork W2207227103 @default.
• W3045907724 hasRelatedWork W2237194269 @default.
• W3045907724 hasRelatedWork W2260251867 @default.
• W3045907724 hasRelatedWork W2612236725 @default.
• W3045907724 hasRelatedWork W2769227940 @default.
• W3045907724 hasRelatedWork W2977722742 @default.
• W3045907724 hasRelatedWork W2979918963 @default.
• W3045907724 hasRelatedWork W3088120103 @default.
• W3045907724 hasRelatedWork W3111922419 @default.
• W3045907724 hasRelatedWork W3156497410 @default.
• W3045907724 hasRelatedWork W3198057170 @default.
• W3045907724 hasRelatedWork W3213109582 @default.
• W3045907724 hasRelatedWork W69409910 @default.
• W3045907724 hasRelatedWork W2555394075 @default.
• W3045907724 isParatext "false" @default.
• W3045907724 isRetracted "false" @default.
• W3045907724 magId "3045907724" @default.
• W3045907724 workType "dissertation" @default.