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Proceedings Paper

Generalized information fusion and visualization using spatial voting and data modeling
Author(s): Holger M. Jaenisch; James W. Handley
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Paper 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.

Paper Details

Date Published: 29 May 2013
PDF: 16 pages
Proc. SPIE 8756, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2013, 875609 (29 May 2013); doi: 10.1117/12.2012446
Show Author Affiliations
Holger M. Jaenisch, Licht Strahl Engineering, Inc. (United States)
Johns Hopkins Univ. (United States)
James W. Handley, Licht Strahl Engineering, Inc. (United States)


Published in SPIE Proceedings Vol. 8756:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2013
Jerome J. Braun, Editor(s)

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