Publication Details

PCAPFunnel: A Tool for Rapid Exploration of Packet Capture Files

UHLÁR, J.; HOLKOVIČ, M.; RUSŇÁK, V. PCAPFunnel: A Tool for Rapid Exploration of Packet Capture Files. In 2021 25TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV): AI & VISUAL ANALYTICS & DATA SCIENCE. Proceedings. Sydney: IEEE Biometric Council, 2021. p. 69-76. ISBN: 978-1-6654-3827-8. ISSN: 2375-0138.
Czech title
PCAPFunnel: Nástroj pro rychlé zkoumání souborů obsahujících zachycenou komunikaci
Type
conference paper
Language
English
Authors
UHLÁR, J.
Holkovič Martin, Ing., Ph.D.
Rusňák Vít, RNDr., Ph.D. (FIT)
Keywords

Data analysis, Data visualization, Network traffic analysis, Packet captures

Abstract

Analyzing network traffic is one of the fundamental tasks in both network
operations and security incident analysis. Despite the immense efforts in
workflow automation, an ample portion of the work still relies on manual data
exploration and analytical insights by domain specialists. Current
state-of-the-art network analysis tools provide high flexibility at the expense
of usability and have a steep learning curve. Recent - often web-based -
analytical tools emphasize interactive visualizations and provide simple user
interfaces but only limited analytical support. This paper describes the tool
that supports the analytical work of network and security operators. We introduce
typical user tasks and requirements. We also present the filtering funnel
metaphor for exploring packet capture (PCAP) files through visualizations of
linked filter steps. We have created PCAPFunnel, a novel tool that improves the
user experience and speeds up packet capture data analysis. The tool provides an
overview of the communication, intuitive data filtering, and details of
individual network nodes and connections between them. The qualitative usability
study with nine domain experts confirmed the usability and usefulness of our
approach for the initial data exploration in a wide range of tasks and usage
scenarios, from educational purposes to exploratory network data analysis.

Published
2021
Pages
69–76
Journal
Proceedings, vol. 2021, no. 10, ISSN 2375-0138
Proceedings
2021 25TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV): AI & VISUAL ANALYTICS & DATA SCIENCE
Conference
25th International Conference Information Visualisation, Sydney, AU
ISBN
978-1-6654-3827-8
Publisher
IEEE Biometric Council
Place
Sydney
DOI
UT WoS
000850000500011
EID Scopus
BibTeX
@inproceedings{BUT175810,
  author="UHLÁR, J. and HOLKOVIČ, M. and RUSŇÁK, V.",
  title="PCAPFunnel: A Tool for Rapid Exploration of Packet Capture Files",
  booktitle="2021 25TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV): AI & VISUAL ANALYTICS & DATA SCIENCE",
  year="2021",
  journal="Proceedings",
  volume="2021",
  number="10",
  pages="69--76",
  publisher="IEEE Biometric Council",
  address="Sydney",
  doi="10.1109/IV53921.2021.00021",
  isbn="978-1-6654-3827-8",
  issn="2375-0138",
  url="https://www.fit.vut.cz/research/publication/12556/"
}
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