Our Publications
Here you find our publications.
2021
Delcombel, Nicolas; Kabil, Alexandre; Duval, Thierry; Pahl, Marc-Oliver
CyberCopter: a 3D helical visualisation for periodic signals of cyber attacks Workshop
2021.
Abstract | BibTeX | Tags: Cybersecurity, Security, Virtual reality, Visual analytics, Visualization, Visualization application domains
@workshop{Delcombel2021,
title = {CyberCopter: a 3D helical visualisation for periodic signals of cyber attacks},
author = {Nicolas Delcombel and Alexandre Kabil and Thierry Duval and Marc-Oliver Pahl},
year = {2021},
date = {2021-08-06},
urldate = {2021-08-06},
abstract = {this paper aims to asses the usefulness of 3D interactive interfaces to display periodic signals in a network. Past research has shown that 2D data visualization simplifies alerts classification. Including those drawn by periodicity based Intrusion Detection Systems. However, 2D visualisations have limitations such as screen space availability. This is why we created CyberCopter, a prototype that uses a 3D helical representation
to highlight periodic patterns in a dataset. We tested CyberCopter usability and efficiency in a fraud detection scenario. It scored 77 at the SUS questionnaire which demonstrates an acceptable usability},
howpublished = {VR4Sec: 1st International Workshop on Security for XR and XR for Security},
keywords = {Cybersecurity, Security, Virtual reality, Visual analytics, Visualization, Visualization application domains},
pubstate = {published},
tppubtype = {workshop}
}
this paper aims to asses the usefulness of 3D interactive interfaces to display periodic signals in a network. Past research has shown that 2D data visualization simplifies alerts classification. Including those drawn by periodicity based Intrusion Detection Systems. However, 2D visualisations have limitations such as screen space availability. This is why we created CyberCopter, a prototype that uses a 3D helical representation
to highlight periodic patterns in a dataset. We tested CyberCopter usability and efficiency in a fraud detection scenario. It scored 77 at the SUS questionnaire which demonstrates an acceptable usability
to highlight periodic patterns in a dataset. We tested CyberCopter usability and efficiency in a fraud detection scenario. It scored 77 at the SUS questionnaire which demonstrates an acceptable usability