Wireless Cyber Assets Discovery Visualization

Authors:
Kenneth Prole;John R. Goodall;Anita D. D'Amico;Jason K. Kopylec
Affiliations:
Secure Decisions division of Applied Visions, Inc. NY 11768;Secure Decisions division of Applied Visions, Inc. NY 11768;Secure Decisions division of Applied Visions, Inc. NY 11768;Secure Decisions division of Applied Visions, Inc. NY 11768
Venue:
VizSec '08 Proceedings of the 5th international workshop on Visualization for Computer Security
Year:
2008

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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.