Generalized Information Fusion and Visualization Using Spatial Voting and Data Modeling

被引：0

作者：

Jaenisch, Holger M. ^{[1
,2
,3
]}

Handley, James W. ^{[1
,2
]}

机构：

[1] SPIE, Bellingham, WA 98227 USA

[2] Licht Strahl Engn INC, Toney, AL 35773 USA

[3] Johns Hopkins Univ, Baltimore, MD 21218 USA

来源：

MULTISENSOR, MULTISOURCE INFORMATION FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS 2013 | 2013年 / 8756卷

关键词：

Spatial Voting; Data Modeling; Information Fusion; Agile networks; Cyber defense; Cyber Persona Tracking;

D O I：

10.1117/12.2012446

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：16