Researh and Patents
We strive to be thought leaders and globally contribute to our field.
We contribute new innovative research to expand cybersecurity, Augmented Reality (AR), and Machine Learning (ML) fields.
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.View PhD Dissertation
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.View Published Paper
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).View Published Paper
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).View Published Paper
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).View Published Paper
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.View Published Paper
Our team keeps building so that you keep succeeding...
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.View Patent
Our CTO's (Dr. Troy Nunnally) Graduation Video
Our research goal is to build advanced mobile and web technologies in Augmented Reality (AR) and Machine Learning (ML) to build high-growth businesses.
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