October 30, 2020 Project deliverable Open Access

Panagiotidis, Panagiotis

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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4280567", 
  "language": "eng", 
  "title": "SPHINX Decision Support Engine v1", 
  "issued": {
    "date-parts": [
      [
        2020, 
        10, 
        30
      ]
    ]
  }, 
  "abstract": "<p>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&rsquo; intelligence. Generally, a DSS exploits the technological agents&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.</p>\n\n<p>This document, which is the first version of a set of two deliverables, entails information on&nbsp;both the SPHINX Decision Support System (DSS) and Analytic Engine (AE), in order to provide an overview of the decision-making in SPHINX.</p>", 
  "author": [
    {
      "family": "Panagiotidis, Panagiotis"
    }
  ], 
  "type": "report", 
  "id": "4280567"
}