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Exploitation of Network-Based Information
Navy SBIR 2008.1 - Topic N08-081 ONR - Mrs. Tracy Frost - [email protected] Opens: December 10, 2007 - Closes: January 9, 2008 N08-081 TITLE: Exploitation of Network-Based Information TECHNOLOGY AREAS: Information Systems ACQUISITION PROGRAM: No acquisition program is specifically supporting this topic. OBJECTIVE: To develop algorithms, methodologies and tools for encoding and analyzing network-based data and information that arises in a Global Information Grid (GIG) and Net-centric Enterprise Services (NCES) environment (e.g., sensor networks, computer networks, communications networks, intelligence networks, etc.). DESCRIPTION: The GIG-NCES framework relies heavily on networks of all types: communications networks, information networks, computer networks, intelligence networks, sensor networks, and others. The ability to understand the complex behavior of networks is important for their protection and for risk management. Additionally, networks can be looked at as a type of sensor. Thus, information about the networks can be exploited for warfighting operations (offensive and defensive) and decision making. We seek innovative methods for encoding network-based data with the goal of understanding its current state and predicting its future state in the presence of noise or uncertainty. Some issues that might be addressed include dynamic and evolving networks, spatio-temporal aspects of network-based data, anomaly detection, estimating uncertainties associated with networks, metadata analysis, integration/fusion of network data, and others. PHASE I: Investigate and develop algorithms, methodologies, and tools for gathering, encoding, processing, analyzing and displaying network-based data. PHASE II: Develop and demonstrate a prototype for testing and demonstrating the capabilities and limitations of the approach and system developed in Phase I. The enhancement and/or improvement using this approach should be quantitatively evaluated. PHASE III: Further develop and validate a productized tool suite for delivery to the Navy or DoD. This toolkit might include graphical aids and interfaces for easier understanding of the network-based data and how it affects decisions and performance. PRIVATE SECTOR COMMERCIAL POTENTIAL/DUAL-USE APPLICATIONS: The research results are applicable to most commercial businesses and enterprise decision-making operations. Network-based data and information are ubiquitous in both commercial and military venues, so the results from this effort would have commercial sector potential. REFERENCES: 2. M. E. J. Newman, "The structure and function of complex networks," SIAM Review, vol. 45, no. 2, 2003, 167�256. 3. C. Chong and S. Kumar, "Sensor networks: Evolution, opportunities, and challenges," Proceedings of the IEEE, vol. 91, no. 8, 2003, 1247-1256. 4. R. Albert and A. Barabasi, "Statistical mechanics of complex networks," Reviews of Modern Physics, vol 74, Jan. 2002, 47-97. KEYWORDS: Dynamic networks, information integration, random graphs, network visualization, sensor networks, social networks, network science TPOC: Wendy Martinez
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