October 30, 2020 Project deliverable Open Access

Panagiotidis, Panagiotis

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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<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>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Konnekt-able Technologies Ltd", 
      "@type": "Person", 
      "name": "Panagiotidis, Panagiotis"
    }
  ], 
  "url": "https://zenodo.org/record/4280567", 
  "datePublished": "2020-10-30", 
  "keywords": [
    "Decision Support System", 
    "Analytic Engine", 
    "Artificial Intelligence", 
    "Machine Learning"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.4280567", 
  "@id": "https://doi.org/10.5281/zenodo.4280567", 
  "@type": "CreativeWork", 
  "name": "SPHINX Decision Support Engine v1"
}