October 30, 2020 Project deliverable Open Access

Panagiotidis, Panagiotis

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    "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>", 
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        "title": "A Universal Cyber Security Toolkit for Health-Care Industry", 
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    "publication_date": "2020-10-30", 
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