Towards context-aware hard/soft information fusion: Incorporating situationally qualified human observations into a fusion process for intelligence analysis

2011 ◽  
Author(s):  
Michael P. Jenkins ◽  
Geoff Gross ◽  
Ann M. Bisantz ◽  
Rakesh Nagi
Keyword(s):  
Information Fusion ◽  
Soft Information ◽  
Fusion Process ◽  
Intelligence Analysis ◽  
Context Aware

scholarly journals Internet-of-Things and Information Fusion: Trust Perspective Survey

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1929 ◽  
Author(s):  
Farag Azzedin ◽  
Mustafa Ghaleb
Keyword(s):  
Internet Of Things ◽  
Information Fusion ◽  
Data Sources ◽  
Fusion Process ◽  
Future Directions ◽  
Trust Modeling ◽  
Real Value ◽  
Trust Models ◽  
Trust Modelling

The advent of Internet-of-Things (IoT) is creating an ecosystem of smart applications and services enabled by a multitude of sensors. The real value of these IoT smart applications comes from analyzing the information provided by these sensors. Information fusion improves information completeness/quality and, hence, enhances estimation about the state of things. Lack of trust and therefore, malicious activities renders the information fusion process and hence, IoT smart applications unreliable. Behavior-related issues associated with the data sources, such as trustworthiness, honesty, and accuracy, must be addressed before fully utilizing these smart applications. In this article, we argue that behavior trust modeling is indispensable to the success of information fusion and, hence, to smart applications. Unfortunately, the area is still in its infancy and needs further research to enhance information fusion. The aim of this article is to raise the awareness and the need of behavior trust modelling and its effect on information fusion. Moreover, this survey describes IoT architectures for modelling trust as well as classification of current IoT trust models. Finally, we discuss future directions towards trustworthy reliable fusion techniques.

scholarly journals Architecture of Maritime Awareness System Supplied with External Information

2016 ◽  
Vol 23 (1) ◽  
pp. 135-149 ◽  
Author(s):  
Milena Stróżyna ◽  
Jacek Małyszko ◽  
Krzysztof Węcel ◽  
Dominik Filipiak ◽  
Witold Abramowicz
Keyword(s):  
Information Fusion ◽  
External Information ◽  
Automatic Identification ◽  
Identification System ◽  
Intelligence Analysis ◽  
Proof Of Concept ◽  
Analysis Techniques ◽  
External Data ◽  
Web Crawlers ◽  
Awareness System

Abstract In this paper, we discuss a software architecture, which has been developed for the needs of the System for Intelligent Maritime Monitoring (SIMMO). The system bases on the state-of-the-art information fusion and intelligence analysis techniques, which generates an enhanced Recognized Maritime Picture and thus supports situation analysis and decision- making. The SIMMO system aims to automatically fuse an up-to-date maritime data from Automatic Identification System (AIS) and open Internet sources. Based on collected data, data analysis is performed to detect suspicious vessels. Functionality of the system is realized in a number of different modules (web crawlers, data fusion, anomaly detection, visualization modules) that share the AIS and external data stored in the system’s database. The aim of this article is to demonstrate how external information can be leveraged in maritime awareness system and what software solutions are necessary. A working system is presented as a proof of concept.

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