Advanced Visualizations for Network Security

Building upon this idea, the purpose of this thesis is to introduce a visualization framework to help reduce task-completion time, enhance situational awareness, decrease user error, and increase the learnability of complex visualizations for network security applications.

Troy Nunnally, “Advanced Visualizations for Network Security,” Ph.D. dissertation, School of ECE, Georgia Tech. Atlanta, Ga.

An Interaction System for Network Security Applications

Troy Nunnally, A. S. Uluagac, and R. Beyah, “An Interaction System for Network Security Applications,” in submission to the IEEE Transactions on Visualization and Computer Graphics. 2014.

NAVSEC: A Recommender System for 3D Network Security Visualizations

Troy Nunnally, K. Abdullah, A. S. Uluagac, J. Copeland, and R. Beyah, “NAVSEC: A Recommender System for 3D Network Security Visualizations,” in Proceedings of the Workshop of Visualization Security (VizSec).

P3D: A Parallel 3D Coordinate Visualization for Advanced Network Scans

Troy Nunnally, K. Abdullah, A. S. Uluagac, J. Copeland, and R. Beyah, “P3D: A Parallel 3D Coordinate Visualization for Advanced Network Scans,” in Proceedings of the IEEE International Conference on Communications (ICC).

3DSVAT: 3D Stereoscopic Vulnerability Assessment Tool for Network Security

Troy Nunnally, A. S. Uluagac, J. Copeland, and R. Beyah, “3DSVAT: 3D Stereoscopic Vulnerability Assessment Tool for Network Security,” in Proceedings of the 37th IEEE Conference on Local Computer Networks (LCN).

Reducing traffic traces using a polynomial approximation for traffic classification

In this initial work, we use traffic attributes of packet length and arrival time to represent Instant Messaging, Video, and Basic Web Page traffic. We then examine the error introduced by using polynomials to represent each of these traffic types.

S. Sanders, Troy Nunnally, H.L. Owen, "Reducing traffic traces using a polynomial approximation for traffic classification," Southeastcon, 2011 Proceedings of IEEE , vol., no., pp.55-58, 17-20.

SYSTEMS AND METHODS FOR COMPARATIVE GEOFENCNG

We developed systems and methods for time-based geolocation queries with designated planned arrival and/or departure times or event start/end times. The number of queries can be drastically reduced to reduce battery, bandwidth, and processing requirements; or the rate of queries can be increased within a specified time frame, providing much higher resolution of geolocation information.

V. Woods, D. Campbell,Troy Nunnally, Travis Nunnally, and A. Mims, “System and Methods for Comparative Geofencing,” Patent Number: 9119038. Issue Date: 8/25/2015.