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Communication Dans Un Congrès Année : 2017

Choosing models for security metrics visualization

Résumé

This paper aims at finding optimal visualization models for representation and analysis of security related data, for example, security metrics, security incidents and cyber attack countermeasures. The classification of the most important security metrics and their characteristics that are important for their visualization are considered. The paper reviews existing and suggested research by the author's data representation and visualization models. In addition, the most suitable models for different metric groups are outlined and analyzed. A case study is presented as an illustration on the way the visualization models are integrated with different metrics for security awareness
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Dates et versions

hal-01648050 , version 1 (24-11-2017)

Identifiants

Citer

Maxim Kolomeec, Gustavo Daniel Gonzalez Granadillo, Elena Doynikova, Andrey Chechulin, Igor Kotenko, et al.. Choosing models for security metrics visualization. MMM-ACNS 2017 : International Conference on Mathematical Methods, Models, and Architectures for Computer Network Security, Aug 2017, Warsaw, Poland. pp.75 - 87, ⟨10.1007/978-3-319-65127-9_7⟩. ⟨hal-01648050⟩
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