PCAPFunnel: A Tool for Rapid Exploration of Packet Capture Files

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F21%3A00121642" target="_blank" >RIV/00216224:14610/21:00121642 - isvavai.cz</a>

Alternative codes found

RIV/00216305:26230/21:PU142933

Result on the web

<a href="http://dx.doi.org/10.1109/IV53921.2021.00021" target="_blank" >http://dx.doi.org/10.1109/IV53921.2021.00021</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IV53921.2021.00021" target="_blank" >10.1109/IV53921.2021.00021</a>

Result language

angličtina

Original language name

PCAPFunnel: A Tool for Rapid Exploration of Packet Capture Files

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2021 25th International Conference Information Visualisation (IV)

ISBN

9781665438278

ISSN

1093-9547

e-ISSN

—

Number of pages

8

Pages from-to

69-76

Publisher name

The Institute of Electrical and Electronics Engineers, Inc.

Place of publication

United States of America

Event location

Sydney, Australia

Event date

Jul 5, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—