3DSVAT:面向网络安全的三维立体漏洞评估工具

Troy Nunnally, A. Uluagac, J. Copeland, R. Beyah
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引用次数: 7

摘要

随着网络数据量的不断增加,网络变得越来越复杂,如何快速准确地管理和分析数据成为一个难题。许多网络管理工具已经使用二维(2D)和三维(3D)可视化技术来帮助支持网络异常和活动的决策和推理。然而,糟糕的用户界面加上大量的数据可能会混淆重要的网络细节。因此,管理员可能无法及时发现和识别恶意网络行为。3D可视化通过引入单目和双目视觉线索来描绘深度并增加感知的观看面积,从而解决了这一挑战。在这项工作中,我们探索了3D网络安全应用的这些线索,特别强调双目视差或立体3D。目前,没有任何网络安全工具利用立体3D技术提供的增强深度感知来进行漏洞评估。与传统3D系统相比,立体3D有助于提高深度感知,从而减少错误数量并增加网络管理员的响应时间。因此,我们引入了一个用于渲染增强的网络安全3D立体可视化(FRE3DS)的立体3D视觉框架。我们的新框架使用最先进的3D图形渲染来协助网络安全应用程序的3D可视化。此外,利用我们的框架,我们提出了一个新的三维立体脆弱性评估工具(3DSVAT)。我们说明了使用3DSVAT来帮助快速检测和关联攻击漏洞,在修改的局域网数据集的一个子集中,使用增强的立体3D环境中的深度感知。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3DSVAT: A 3D Stereoscopic Vulnerability Assessment Tool for network security
As the volume of network data continues to increase and networks become more complex, the ability to accurately manage and analyze data quickly becomes a difficult problem. Many network management tools already use two-dimensional (2D) and three-dimensional (3D) visualization techniques to help support decision-making and reasoning of network anomalies and activity. However, a poor user interface combined with the massive amount of data could obfuscate important network details. As a result, administrators may fail to detect and identify malicious network behavior in a timely manner. 3D visualizations address this challenge by introducing monocular and binocular visual cues to portray depth and to increase the perceived viewing area. In this work, we explore these cues for 3D network security applications, with a particular emphasis on binocular disparity or stereoscopic 3D. Currently, no network security tool takes advantage of the enhanced depth perception provided by stereoscopic 3D technologies for vulnerability assessment. Compared to traditional 3D systems, stereoscopic 3D helps improve the perception of depth, which can, in turn reduce the number of errors and increase response times of network administrators. Thus, we introduce a stereoscopic 3D visual Framework for Rendering Enhanced 3D Stereoscopic Visualizations for Network Security (FRE3DS). Our novel framework uses state-of-the art 3D graphics rendering to assist in 3D visualizations for network security applications. Moreover, utilizing our framework, we propose a new 3D Stereoscopic Vulnerability Assessment Tool (3DSVAT). We illustrate the use of 3DSVAT to assist in rapid detection and correlation of attack vulnerabilities in a subset of a modified local area network data set using the enhanced perception of depth in a stereoscopic 3D environment.
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