Real-time collaborative network monitoring and control using 3D game engines for representation and interaction

Harrop, Warren; Armitage, Grenville

doi:10.1145/1179576.1179583

Cited by 5 publications

(5 citation statements)

References 28 publications

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“…Some of our own previous work focused on repurposing the server and client engines of a late-1990s era first person shooter (FPS) game to provide a multi-party monitoring of network state using 3D "worlds" [8]. Inside the virtual world, multiple network states were represented in real time using 3D objects with visually orthogonal attributes.…”

Section: From Game Engines To Webglmentioning

confidence: 99%

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Homenet3D: a new view on home network state

Armitage

Allan

2014

IEEE Commun. Mag.

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Section: From Game Engines To Webglmentioning

confidence: 99%

“…For example, previous work using 3D game engines repurposed the in-game notion of "shooting" an object to trigger specific firewall rule updates, without the end user needing to worry about detailed firewall rule syntax [8].…”

Section: Home Network Infrastructurementioning

confidence: 99%

Homenet3D: a new view on home network state

Armitage

Allan

2014

IEEE Commun. Mag.

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“…Utilization of Visual Cues in Network Security Tools Monocular Cues 3D Visualization Tool Perspective [16], [22], [23], [24], [25], [26] Size [16], [22], [25] Texture [16], [20] Occlusion [27], [16], [22], [23], [20], [24], [28], [25], [26] Shadows [16], [22], [20] Motion Parallax None Binocular Cues 3D Visualization Tool Binocular Disparity [27] Table 1 shows a collection of network security tools and their associated visual cues. Below is a explanation of both monocular cues and binocular.…”

Section: Table I: Visual Cues In Network Securitymentioning

confidence: 99%

“…al. illustrate this concept by using 3D game engines to metaphorically represent real-time network monitoring and control [16].…”

Section: Introductionmentioning

confidence: 99%

3DSVAT: A 3D Stereoscopic Vulnerability Assessment Tool for network security

Nunnally

Uluagac

Copeland

et al. 2012

37th Annual IEEE Conference on Local Computer Networks

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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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“…Another project with similar aims is the L3DGEWorld data visualization tool for network analysis [4]. This project utilizes OpenArena (a derivative of the Quake III Arena game engine) to reflect network activity, and players actions as network commands (such as blocking IP ranges).…”

Section: Seaport Modelingmentioning

confidence: 99%

Game-Based Simulation for the Evaluation of Threat Detection in a Seaport Environment

Christiansen

Johnson

Holder

2008

Lecture Notes in Computer Science

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Abstract. The ability to simulate a seaport environment, including illicit cargo and the sensors designed to detect such cargo, allows the evaluation of alternative detection methods in order to improve security at our nation's seaports. We describe our progress towards this goal. Specifically, we describe our modeling of threats at a particle emission level, modeling of sensors as particle detectors, modeling of the seaport dynamics (e.g, ships, cargo containers, cranes, trucks), and how the particles interact with the various structures and materials in the seaport environment as the cargo moves through the seaport. Ultimately, this simulation will serve as a testbed for the evaluation of sensor network data collection, fusion and decision making for threat detection in a seaport environment.

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Real-time collaborative network monitoring and control using 3D game engines for representation and interaction

Cited by 5 publications

References 28 publications

Homenet3D: a new view on home network state

Homenet3D: a new view on home network state

3DSVAT: A 3D Stereoscopic Vulnerability Assessment Tool for network security

Game-Based Simulation for the Evaluation of Threat Detection in a Seaport Environment

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