October 30, 2020 Project deliverable Open Access

Panagiotidis, Panagiotis

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  <identifier identifierType="DOI">10.5281/zenodo.4280567</identifier>
  <creators>
    <creator>
      <creatorName>Panagiotidis, Panagiotis</creatorName>
      <givenName>Panagiotis</givenName>
      <familyName>Panagiotidis</familyName>
      <affiliation>Konnekt-able Technologies Ltd</affiliation>
    </creator>
  </creators>
  <titles>
    <title>SPHINX Decision Support Engine v1</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Decision Support System</subject>
    <subject>Analytic Engine</subject>
    <subject>Artificial Intelligence</subject>
    <subject>Machine Learning</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-10-30</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Project deliverable</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4280567</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4280566</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/sphinx</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Practices that require significant involvement of human effort should be improved using techniques and mechanisms coming from the artificial intelligence domain, automating various decision-making processes. The goal is to promote decision-making based both on human and technological agents&amp;rsquo; intelligence. Generally, a DSS exploits the technological agents&amp;rsquo; intelligence combined with the human perception to make a final decision. The SPHINX toolkit needs to merge isolated data into higher-level knowledge of network-wide attack vulnerability and mission readiness in the face of cyber threats to go beyond rudimentary assessments of security posture and attack response.&lt;/p&gt;

&lt;p&gt;This document, which is the first version of a set of two deliverables, entails information on&amp;nbsp;both the SPHINX Decision Support System (DSS) and Analytic Engine (AE), in order to provide an overview of the decision-making in SPHINX.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/826183/">826183</awardNumber>
      <awardTitle>A Universal Cyber Security Toolkit for Health-Care Industry</awardTitle>
    </fundingReference>
  </fundingReferences>
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