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  <titleInfo>
    <title>Privacy-preserving Health Data Sharing for Medical Cyber-Physical Systems</title>
  </titleInfo>
  <name type="personal">
    <namePart>Han Qiu</namePart>
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      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  </name>
  <typeOfResource>text</typeOfResource>
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    <dateIssued encoding="marc">2019</dateIssued>
    <issuance>monographic</issuance>
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    <languageTerm authority="iso639-2b" type="code">ng </languageTerm>
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  <abstract>The recent spades of cyber security attacks have compromised end users' data safety and privacy in Medical Cyber-Physical Systems (MCPS). Traditional standard encryption algorithms for data protection are designed based on a viewpoint of system architecture rather than a viewpoint of end users. As such encryption algorithms are transferring the protection on the data to the protection on the keys, data safety and privacy will be compromised once the key is exposed. In this paper, we propose a secure data storage and sharing method consisted by a selective encryption algorithm combined with fragmentation and dispersion to protect the data safety and privacy even when both transmission media (e.g. cloud servers) and keys are compromised. This method is based on a user-centric design that protects the data on a trusted device such as end user's smartphone and lets the end user to control th</abstract>
  <note>Open access — freely available to read.</note>
  <identifier type="uri">https://arxiv.org/pdf/1904.08270v1</identifier>
  <location>
    <url displayLabel="Read the full paper (PDF)">https://arxiv.org/pdf/1904.08270v1</url>
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  <accessCondition type="restrictionOnAccess">Open access — freely available to read.</accessCondition>
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