TFI 2013 - Special Session on Trust in Fused Information
Topics/Call fo Papers
The volumes of information streamed and collected from disparate sensor, data and information sources have increased dramatically in recent years. Fusing such multimodal information have increased the decision maker's ability to make informed decision in rapidly changing complex environments which would not have been possible if the information were taken individually. While such approaches have drawn a considerable attention from the community, the trustworthiness of the fused information stands as a critical issue yet to be addressed. To estimate trust in the information, one may reason about the diverse information sources and consistency of the provided information with respect to domain constraints. These sources can be soft (e.g., humans, organisations) and hard (e.g., wireless sensors) or structured (e.g., databases) and unstructured (e.g., open-source data on the internet). Their sensing capabilities may vary based on the context. To avoid revealing sensitive information, some of them may obfuscate information before sharing while others may maliciously disseminate misleading information. This special session will focus on how different strains of knowledge can be processed, analysed, and combined to model trust in information and how such models can be exploited to improve the trustworthiness of the fused information. The purpose of this special session is to highlight different aspects of information fusion and trust research from coalition's (or decision maker's) perspectives and to discuss about the interesting topics in trust and information fusion in the wider context.
Other CFPs
- Special Session on Information fusion for biosurveillance
- Special Session on Event based estimation and control
- Special Session on Space Object Tracking, Characterization, and Sensor Data Fusion
- Special Session on Information Fusion in Networked Systems under Unknown Dependencies
- Special Session on Homotopy Methods for Progressive Bayesian Estimation
Last modified: 2013-02-26 22:17:56