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Forschungsstelle
INNOSUISSE
Projektnummer
9031.1;5 PFES-ES
Projekttitel
Risk Manager Dashboard: visualization for assessing and managing risk in corporate networks through metrics and user behavior analysis
Projekttitel Englisch
Risk Manager Dashboard: visualization for assessing and managing risk in corporate networks through metrics and user behavior analysis

Texte zu diesem Projekt

 DeutschFranzösischItalienischEnglisch
Kurzbeschreibung
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Abstract
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Erfasste Texte


KategorieText
Kurzbeschreibung
(Englisch)
Risk Manager Dashboard: visualization for assessing and managing risk in corporate networks through metrics and user behavior analysis
Kurzbeschreibung
(Französisch)
Risk Manager Dashboard: visualization for assessing and managing risk in corporate networks through metrics and user behavior analysis
Abstract
(Englisch)
This project involves the Department of Computer Science of the University of Fribourg (DIUF) and NEXThink S.A., a start-up software company developing a new generation of security management solutions. The project will develop novel visualizations for risk monitoring in network security. New visual metrics will be developed in a way that risk can be correctly captured and easily understood by non-technical users. The project will also develop interactive visualizations to analyze the causes and consequences of changes in risk levels. The new system will be used to expand deployment of the solution with early-adopter customers and support large to very-large organizations with several dozen of thousands of employees.
Abstract
(Französisch)
This project involves the Department of Computer Science of the University of Fribourg (DIUF) and NEXThink S.A., a start-up software company developing a new generation of security management solutions. The project will develop novel visualizations for risk monitoring in network security. New visual metrics will be developed in a way that risk can be correctly captured and easily understood by non-technical users. The project will also develop interactive visualizations to analyze the causes and consequences of changes in risk levels. The new system will be used to expand deployment of the solution with early-adopter customers and support large to very-large organizations with several dozen of thousands of employees.