Tools for visualizing network data to detect intrusion

Abstract

This thesis represents some methods for visualizing network data to detect intrusion. Network intrusion visualization can help us to have a graphical overview about the potential threats in network to monitor the network more effectively. The visualization tools allow security analysts to understand the nature of traffic in the network, which leads to network solutions for enhancing network performance. Three methods in this thesis is radial visualization, force-directed visualization and PCA visualization. My visualization is conducted with some tools, libraries such as Oracle Data Visualization, D3.js, S-Plus … Three basic steps to visualize the network traffic or intrusion are collecting data, analyzing then do visualization.