Hayshark: A Web-Based System for Remote Visualization of Network Traffic

Any computer or device connected to the Internet today will be exposed to a significant amount of network traffic from potentially thousands of different IP addresses. The vast majority of this traffic is entirely invisible to ordinary users. In this paper we introduce a system called Hayshark that can be used for visualizing and analyzing network traffic on a multitude of computing devices in a quick”at-a-glance” fashion. The Hayshark system constructs and dynamically maintains a live 3D graph representation of all incoming network traffic, and presents the data streams in a visual web-based user interface with force-directed graph layout. The user interface includes detailed message statistics and the ability to quickly dive deeper into individual streams if any anomalies are detected in their behavior.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.5220/0013662200003985
Primary Topic
Network Traffic and Congestion Control
Type
article
Field-Weighted Citation Impact
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article

Hayshark: A Web-Based System for Remote Visualization of Network Traffic

Antero Taivalsaari
Network Traffic and Congestion Control
article

Hayshark: A Web-Based System for Remote Visualization of Network Traffic

Antero Taivalsaari
article en

Abstract

Any computer or device connected to the Internet today will be exposed to a significant amount of network traffic from potentially thousands of different IP addresses. The vast majority of this traffic is entirely invisible to ordinary users. In this paper we introduce a system called Hayshark that can be used for visualizing and analyzing network traffic on a multitude of computing devices in a quick”at-a-glance” fashion. The Hayshark system constructs and dynamically maintains a live 3D graph representation of all incoming network traffic, and presents the data streams in a visual web-based user interface with force-directed graph layout. The user interface includes detailed message statistics and the ability to quickly dive deeper into individual streams if any anomalies are detected in their behavior.

Tampere University of Applied Sciences (FI), Nokia (Finland) (FI), Tampere University (FI)
Openalex Percentile: Top 64%
Network Traffic and Congestion Control
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