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Botnets are emerging as the most significant threat facing online ecosystems and computing assets due to their enormous volume and sheer power. It is a major challenge for cyber-security research community to combat the emerging threat of botnets. Most of useful approaches for botnet traffic detection are based on passive network traffic monitoring and analysis. Nevertheless, typical network traffic...
This paper presents a visualization analysis tool for detecting, analyzing and responding to the Distributed Denial of Service attack termed the Domain Name Service (DNS) amplification attack. The tool integrates agent technology, visual analytics and interactive visualization techniques to allow users to interact with the system in real-time, to monitor the network traffic, to analyze traffic information,...
NetFlow data is routinely captured at the border of many enterprise networks. Although not as rich as full packet-capture data, NetFlow provides a compact record of the interactions between host pairs on either side of the monitored border. Analysis of this data presents a challenge to the security analyst due to its volume. We report preliminary results on the development of a suite of visualization...
The collective behavior of network data segments corresponding to port 110 (e-mail) was visualized and analyzed with a set of nonlinear and computational parameters such as: Lyapunov exponent, fractal dimension, recurrence, determinism, grammatical rules, and lempel-Ziv complexity. Common methods for network data analysis are based mainly in descriptive statistics, although useful and widely accepted...
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