Lessons learned while supporting Cyber Situational Awareness

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dc.contributor.authorBlasilli, Grazianoen_US
dc.contributor.authorPaoli, Emiliano Deen_US
dc.contributor.authorLenti, Simoneen_US
dc.contributor.authorPicca, Sergioen_US
dc.contributor.editorVrotsou, Katerina and Bernard, Jürgenen_US
dc.date.accessioned2021-06-12T11:22:09Z
dc.date.available2021-06-12T11:22:09Z
dc.date.issued2021
dc.description.abstractThe increasing number of cyberattacks against critical infrastructures has pushed researchers to develop many Visual Analytics solutions to provide valid defensive approaches and improve the situational awareness of the security operators. Applying such solutions to complex infrastructures is often challenging, and existing tools can present limitations and exhibit various issues. In this paper, supported by cybersecurity experts of a world leader company in the military domain, we apply an existing Visual Analytics solution, MAD, to a complex network of a critical infrastructure, highlighting its limitations in this scenario and proposing further solutions to improve the cyber situational awareness in both proactive and reactive risk analyses. The results of this research contribute to characterize the activities performed by domain experts in this domain and their implications for the design of Visual Analytics solutions that aim at supporting them.en_US
dc.description.sectionheadersVA Applications and Workflows
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)
dc.identifier.doi10.2312/eurova.20211093
dc.identifier.isbn978-3-03868-150-2
dc.identifier.pages19-23
dc.identifier.urihttps://doi.org/10.2312/eurova.20211093
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurova20211093
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman centered computing
dc.subjectVisual analytics
dc.subjectSecurity and privacy
dc.subjectNetwork security
dc.titleLessons learned while supporting Cyber Situational Awarenessen_US
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