@inproceedings{cacb119a29104654a821966257ffde53,
title = "Hayshark: A Web-Based System for Remote Visualization of Network Traffic",
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{\textquotedblright}at-a-glance{\textquotedblright} 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.",
keywords = "Data Visualization, Network Data Analysis, Networking, Stream Analysis, Streaming Data, Web Systems",
author = "Antero Taivalsaari",
note = "Publisher Copyright: Copyright {\textcopyright} 2025 by SCITEPRESS - Science and Technology Publications, Lda.; International Conference on Web Information Systems and Technologies ; Conference date: 21-10-2025 Through 23-10-2025",
year = "2025",
doi = "10.5220/0013662200003985",
language = "English",
volume = "1",
series = "International Conference on Web Information Systems and Technologies, WEBIST - Proceedings",
publisher = "SCITEPRESS Science and Technology Publications",
pages = "523--532",
editor = "Karl Aberer and Josep Domingo-Ferrer and Massimo Marchiori",
booktitle = "Proceedings of the 21st International Conference on Web Information Systems and Technologies, WEBIST 2025",
}