Wireless cyber assets discovery visualization

Abstract

As wireless networking has become near ubiquitous, the ability to discover, identify, and locate mobile cyber assets over time is becoming increasingly important to information security auditors, penetration testers, and network administrators. We describe a new prototype called MeerCAT (Mobile Cyber Asset Tracks) for visualizing wireless assets, including their location, security attributes, and relationships. This paper highlights our latest iteration of our prototype for visual analysis of wireless asset data, including user requirements and the various coordinated visualizations. © 2008 Springer-Verlag Berlin Heidelberg.