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        <article-title>Item Tracking and Supply Chain Provenance Using Blockchain</article-title>
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      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Marek Gorski</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Morgan Lean</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Amit Deshmukh</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ingo Weber</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Qinghua Lu</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>An Binh Tran</string-name>
          <email>anbinh.trang@data61.csiro.au</email>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Laava ID</institution>
          ,
          <addr-line>Sydney</addr-line>
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          <country country="AU">Australia</country>
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      </contrib-group>
      <abstract>
        <p>2 fDmaatrae6k1,,mCoSrIgRaOn,,aSmyidtng@eyl,aAavuas.tiradlia Product counterfeiting and fraud are costly for the industry and potentially dangerous for customers, especially if medicine and food products are a ected. These problems are wide-spread across many industries and supply chain processes. To address these challenges, Laava provides a novel type of tags for individual item tracking with unique features. The tags are designed in a way that makes counterfeiting harder, and has numerous advantages over barcodes and QR codes. In this talk, Laava will outline the basic functionality of its solution and describe the blockchain-based components in some detail. This includes the following aspects. Laava registers new tags on creation in a speci c smart contract on the Ethereum blockchain, and scans of the tags along the supply chain are registered as well. Events include updates to the tag status, e.g., created, in use, or invalid. To detect fraudulent activities, Laava uses two complementary methods: { Conformance checking, which compares the observed events against the normative model of the supply chain process for the item in question. { A business rule engine, that checks if item-speci c conditions have been violated.</p>
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