Augmented reality for visualizing security data for cybernetic and cyberphysical systems

Kolomeets, Maxim; Chechulin, Andrey; Zhernova, Ksenia; Kotenko, Igor; Gaifulina, Diana

doi:10.1109/pdp50117.2020.00071

Cited by 4 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Treemaps (2), Voronoi maps (3), stacked models (5) In this article, we presented visualization models most different from each other to demonstrate how various concepts of information presentation can be used [95,96]. These models can be extended by their use in 3D (e.g., the Voronoi diagram in Figures 16 and 19) or by combining them with other models [97].…”

Section: Discussionmentioning

confidence: 99%

Graph Visualization: Alternative Models Inspired by Bioinformatics

Kolomeets

Desnitsky

Kotenko

et al. 2023

Sensors

Self Cite

View full text Add to dashboard Cite

Currently, the methods and means of human–machine interaction and visualization as its integral part are being increasingly developed. In various fields of scientific knowledge and technology, there is a need to find and select the most effective visualization models for various types of data, as well as to develop automation tools for the process of choosing the best visualization model for a specific case. There are many data visualization tools in various application fields, but at the same time, the main difficulty lies in presenting data of an interconnected (node-link) structure, i.e., networks. Typically, a lot of software means use graphs as the most straightforward and versatile models. To facilitate visual analysis, researchers are developing ways to arrange graph elements to make comparing, searching, and navigating data easier. However, in addition to graphs, there are many other visualization models that are less versatile but have the potential to expand the capabilities of the analyst and provide alternative solutions. In this work, we collected a variety of visualization models, which we call alternative models, to demonstrate how different concepts of information representation can be realized. We believe that adapting these models to improve the means of human–machine interaction will help analysts make significant progress in solving the problems researchers face when working with graphs.

show abstract

Section: Discussionmentioning

confidence: 99%

Graph Visualization: Alternative Models Inspired by Bioinformatics

Kolomeets

Desnitsky

Kotenko

et al. 2023

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

Augmented Reality Enhanced Analytics to Measure and Mitigate Disengagement in Teaching Young Children

Singh

Bangay

Sajjanhar

2022

2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)

View full text Add to dashboard Cite

Metrics for Evaluating Cyber Security Data Visualizations in Virtual Reality

Harris

Miknis

Smith³

et al. 2020

PRESENCE: Virtual and Augmented Reality

View full text Add to dashboard Cite

Cyber security analysts use data visualizations to speed up ingestion of security data. These visualizations typically take the form of 2D graphics displayed on computer monitors. Virtual reality has the potential to improve these visualizations with immersive 3D environments and unique interaction mechanics. However, research into this newly synergised area lacks evaluation, leading to unfounded claims of effectiveness. A potential cause for these missing evaluations was identified as a lack of guidance detailing how evaluations should be conducted in this area. Additionally, the small amount of research that does include evaluation incorrectly relies on subjective participant opinions to objectively measure system effectiveness. An example of this misuse is asking participants which system they thought was quicker, rather than timing them. The objective of this paper was to propose a solution to these issues in the form of a surveyed, categorised, and analysed set of evaluation metrics. A total of 49 metrics were identified from 41 papers. The presented metrics detail which dependent variables should be considered when evaluating works in the combined fields of cyber security, data visualization, and virtual reality. These metrics can be used to produce more accurate evaluations in future works in this area.

show abstract

Augmented reality for visualizing security data for cybernetic and cyberphysical systems

Cited by 4 publications

References 12 publications

Graph Visualization: Alternative Models Inspired by Bioinformatics

Graph Visualization: Alternative Models Inspired by Bioinformatics

Augmented Reality Enhanced Analytics to Measure and Mitigate Disengagement in Teaching Young Children

Metrics for Evaluating Cyber Security Data Visualizations in Virtual Reality

Contact Info

Product

Resources

About