Paper
29 May 2013 Generalized information fusion and visualization using spatial voting and data modeling
Holger M. Jaenisch, James W. Handley
Author Affiliations +
Abstract
We present a novel and innovative information fusion and visualization framework for multi-source intelligence (multiINT) data using Spatial Voting (SV) and Data Modeling. We describe how different sources of information can be converted into numerical form for further processing downstream, followed by a short description of how this information can be fused using the SV grid. As an illustrative example, we show the modeling of cyberspace as cyber layers for the purpose of tracking cyber personas. Finally we describe a path ahead for creating interactive agile networks through defender customized Cyber-cubes for network configuration and attack visualization.
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Holger M. Jaenisch and James W. Handley "Generalized information fusion and visualization using spatial voting and data modeling", Proc. SPIE 8756, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2013, 875609 (29 May 2013); https://doi.org/10.1117/12.2012446
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KEYWORDS
Data modeling

Visualization

Computer programming

Information fusion

Data conversion

Information visualization

Principal component analysis

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