threat assessment in the computer networks of organizations can reduce damage caused by attacks and unexpected events. data fusion models such as the jdl model provide efficient and adequate sensors to gather the right information at the right time from the right components. this information then is refined and normalized to provide situational awareness and assess events that may be intended a...

Abstract Managing information quality has become important in cyber-physical systems dealing with big data. In this regard, different models have been proposed, mainly flat peer-to-peer networks, which exchanging efficiently is a key aspect due to scarce resources. However, little research conducted on metrics for scenarios. paper, we propose an metric and show its application fusion model. It ...

Author's Current Address: E.P. BIasch, Air Force Research Laboratory, NY, USA; D.A. Lambert, Defence Science & Tech. Organization, Australia; P. Valin, Defence R&D Canada Valcartier; M. "Mitch" M. Kokar, Northeastern University, MA, USA; J. Llinas, SUNY Buffillo, NY, USA; S. Das, Machine Analytics, MA, USA; C. Chong, BAB Systems, CA, USA; and E. Shahbazian, OODA Technologies, Canada. Manuscxrip...

In this paper, we present Information Market based Fusion (IMF), a novel, multi-classifier combiner method for decision fusion that is based on information markets. IMF does not require training or a static ensemble composition, adjusts to changes in base-classifier accuracy, provides incentives for the base-classifiers to present truthful information, and integrates with existing multi-agent s...

Data fusion has been identified by the Department of Defense as a critical technology for the U.S. defense industry. Data fusion requires combining expertise in two areas — sensors and information integration. Although data fusion is a rapidly growing area, there is little synergy and use of common, reusable, and/or tailorable objects and models, especially across different disciplines, e.g., d...

Advances in technology have resulted in acquisition and subsequent fusion of data from multiple sensors of possibly different modalities. Fusing data acquired from different sensors occurs near the front end of sensing systems and therefore can become a critical bottleneck. It is therefore crucial to quantify the performance of sensor fusion. Information fusion involves estimating and optimizin...

Name Ronda R. Henning Margaret Knepper Kevin L. Fox Address Harris Corporation Government Communications Systems Division P.O. Box 37 Mail Stop W2/9703 Palm Bay, FL 32905 Harris Corporation Government Communications Systems Division P.O. Box 37 Mail Stop 2/9450 Palm Bay, FL 32905 Harris Corporation Government Communications Systems Division P.O. Box 37 Mail Stop 2/9450 Palm Bay, FL 32905 Phone ...