Share Email Print

Proceedings Paper

FuzzyFusion: an application architecture for multisource information fusion
Author(s): Kevin L. Fox; Ronda R. Henning
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The correlation of information from disparate sources has long been an issue in data fusion research. Traditional data fusion addresses the correlation of information from sources as diverse as single-purpose sensors to all-source multi-media information. Information system vulnerability information is similar in its diversity of sources and content, and in the desire to draw a meaningful conclusion, namely, the security posture of the system under inspection. FuzzyFusionTM, A data fusion model that is being applied to the computer network operations domain is presented. This model has been successfully prototyped in an applied research environment and represents a next generation assurance tool for system and network security.

Paper Details

Date Published: 13 April 2009
PDF: 8 pages
Proc. SPIE 7345, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2009, 73450E (13 April 2009); doi: 10.1117/12.819001
Show Author Affiliations
Kevin L. Fox, Harris Corp. (United States)
Ronda R. Henning, Harris Corp. (United States)

Published in SPIE Proceedings Vol. 7345:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2009
Belur V. Dasarathy, Editor(s)

© SPIE. Terms of Use
Back to Top