Interactive 3D Visualization of Network Traffic in Time for Forensic Analysis

Daniel Clark, Benjamin Turnbull

Abstract

This paper outlines a novel approach to 3D visualization of network traffic. Existing approaches, which present node-graphs in 3D space may not be making the best use of the advantages of 3D. By combining the time component of network traffic data with nodal information and displaying these on separate planes it should be possible to provide analysts with insights that go beyond just the nodal information. The goal of allowing analysts to quickly form a mental map that corresponds with the network traffic ground truth may be achieved with this approach. The visualization approach is demonstrated through development of a tool which implements the approach and discusses its application to a recent network forensics challenge.

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Paper Citation


in Harvard Style

Clark D. and Turnbull B. (2020). Interactive 3D Visualization of Network Traffic in Time for Forensic Analysis.In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, ISBN 978-989-758-402-2, pages 177-184. DOI: 10.5220/0008950601770184


in Bibtex Style

@conference{ivapp20,
author={Daniel Clark and Benjamin Turnbull},
title={Interactive 3D Visualization of Network Traffic in Time for Forensic Analysis},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,},
year={2020},
pages={177-184},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008950601770184},
isbn={978-989-758-402-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,
TI - Interactive 3D Visualization of Network Traffic in Time for Forensic Analysis
SN - 978-989-758-402-2
AU - Clark D.
AU - Turnbull B.
PY - 2020
SP - 177
EP - 184
DO - 10.5220/0008950601770184