Title
P3D: A parallel 3D coordinate visualization for advanced network scans
Abstract
As network attacks increase in complexity, network administrators will continue to struggle with analyzing security data immediately and efficiently. To alleviate these challenges, researchers are looking into various visualization techniques (e.g., two-dimensional (2D) and three-dimensional (3D)) to detect, identify, and analyze malicious attacks. This paper discusses the benefits of using a stereoscopic 3D parallel visualization techniques for network scanning, in particular, when addressing occlusion-based visualization attacks intended to confuse network administrators. To our knowledge, no 2D or 3D tool exists that analyzes these attacks. Hence, we propose a novel 3D Parallel coordinate visualization tool for advanced network scans and attacks called P3D. P3D uses flow data, filtering techniques, and state-of-the art 3D technologies to help network administrators detect distributed and coordinated network scans. Compared to other 2D and 3D network security visualization tools, P3D prevents occlusion-based visualization attacks (e.g., Windshield Wiper and Port Source Confusion attacks). We validate our tool with use-cases from emulated distributed scanning attacks. Our evaluation shows P3D allows users to extract new information about scans and minimize information overload by adding an extra dimension and awareness region in the visualization.
Year
DOI
Venue
2013
10.1109/ICC.2013.6654828
Communications
Keywords
Field
DocType
data visualisation,security of data,P3D,advanced network scans,coordinated network scans,distributed network scans,filtering techniques,flow data,malicious attacks,network attacks,occlusion-based visualization attacks,security data,stereoscopic 3D parallel coordinate visualization techniques,Parallel Coordinate,Security Visualization,Stereoscopic 3D
Information overload,Confusion,Data visualization,Visualization,Computer science,Stereoscopy,Network security,Filter (signal processing),Computer network,Real-time computing,Creative visualization
Conference
ISSN
Citations 
PageRank 
1550-3607
4
0.43
References 
Authors
0
6
Name
Order
Citations
PageRank
Troy Nunnally160.79
Penyen Chi240.43
Kulsoom Abdullah31368.22
A. Selcuk Uluagac430334.95
John A. Copeland545660.84
Raheem A. Beyah636340.35