Panagiotidis, Panagiotis
2020-10-30
<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’ intelligence. Generally, a DSS exploits the technological agents’ 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>
<p>This document, which is the first version of a set of two deliverables, entails information on both the SPHINX Decision Support System (DSS) and Analytic Engine (AE), in order to provide an overview of the decision-making in SPHINX.</p>
https://doi.org/10.5281/zenodo.4280567
oai:zenodo.org:4280567
eng
Zenodo
https://zenodo.org/communities/sphinx
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.4280566
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Decision Support System
Analytic Engine
Artificial Intelligence
Machine Learning
SPHINX Decision Support Engine v1
info:eu-repo/semantics/report