虚拟现实中网络安全数据可视化的评估指标

Presence Pub Date : 2020-12-01 DOI:10.1162/pres_a_00363
Daniel Harris;Marius Miknis;Connor Smith;Ian Wilson
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引用次数: 1

摘要

网络安全分析师使用数据可视化来加快安全数据的获取。这些可视化通常采用在计算机监视器上显示的2D图形的形式。虚拟现实有可能通过身临其境的3D环境和独特的交互机制来改善这些可视化效果。然而,对这一新协同领域的研究缺乏评估,导致了毫无根据的有效性主张。这些评价缺失的一个潜在原因是缺乏详细说明如何在这一领域进行评价的指导。此外,包括评估在内的少量研究错误地依赖于主观参与者的意见来客观衡量系统的有效性。这种滥用的一个例子是询问参与者他们认为哪个系统更快,而不是计时。本文的目的是以一组经过调查、分类和分析的评估指标的形式,提出这些问题的解决方案。共从41篇论文中确定了49个指标。所提出的指标详细说明了在评估网络安全、数据可视化和虚拟现实等综合领域的工作时应考虑哪些因变量。这些指标可用于在该领域的未来工作中产生更准确的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metrics for Evaluating Cyber Security Data Visualizations in Virtual Reality
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 synergized 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 article is to propose a solution to these issues in the form of a surveyed, categorized, and analyzed set of evaluation metrics. A total of 49 metrics was 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.
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