Web Implementation of the Spinning Cube of Potential Doom for Netflow Data Analysis
Grullón Sanabria, Jhensen
Santos Sosa, Eric D.
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The monitoring and analysis of computer networks to detect abnormal network behavior is a complex task for network administrators, which is assisted with the use of visualization analytics. In this work, we present a web based implementation of the three dimensional cube known as the Spinning Cube of Potential Doom using WebGL and the Three.js library. With this implementation our goal is to provide an easy to use and access cube interface, without the need to install and configure additional graphic software in a single machine. This application allows the system administrators to visualize distinct network events such as network and port scanning. In our current implementation we use data from NetFlows stored in a remote server, and provide the system administrator with a control panel that allows the selection of past data, and filtering by networks classes. The computing needed for the filtering and parsing of the data is done in the server side, the web browser is only used for the visualization.