loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Daniel Clark and Benjamin Turnbull

Affiliation: School of Engineering and Information Technology, University of New South Wales, Canberra, Australia

Keyword(s): Cybersecurity, Visualization, Network Forensics.

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.197.214.36

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (VISIGRAPP 2020) - IVAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, pages 177-184. DOI: 10.5220/0008950601770184

@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 (VISIGRAPP 2020) - IVAPP},
year={2020},
pages={177-184},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008950601770184},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - IVAPP
TI - Interactive 3D Visualization of Network Traffic in Time for Forensic Analysis
SN - 978-989-758-402-2
IS - 2184-4321
AU - Clark, D.
AU - Turnbull, B.
PY - 2020
SP - 177
EP - 184
DO - 10.5220/0008950601770184
PB - SciTePress