NICOP - Communication and Trust in Emergencies: facilitating automated data sharing between agencies during an emergency response through integration of automated matching and provenance techniques.
Abstract
Communication and Trust in Emergencies: facilitating automated data sharing between agencies during an emergency response through:This project will research efficient means to facilitate automated data sharing during in emergency response and conflict zone scenarios. There many reasons why data sharing in these activities with fast response times is difficult. This research will address two of the main challenges to efficient and reliable automated data sharing this basic research project. The first aspect is that data in different organizations (or even groups within within an organization) is mismatched in that different terminology, structures, specificity and data formats are used, meaning that automated comprehension of data from other organizations is problematic. The second aspect is that the provenance of data from other organizations may not be known so it is difficult to know how much of this data should be trusted. The central aim of this project is to investigate how best theseapproaches can be integrated so that participants can quickly and automatically be presented with appropriate information and for them to understand the quality, trustworthiness and meaning of this data. The research is an extension of the PI s previous work in the development of matching technology and provenance aware security. The research will attempt to integrate these two orthogonal factors and extend existing systems in order to provide a more complete solution to the automation problem. The system will utilize a failure driven dynamic matching techniques under development using data from large emergency response events. The techniques utilize unexpected failure to reason about the causes of the failure to develop avoidance solutions. The PI has developed a simple policy model and language for controlling abstractions. This uses the Bell-LaPadula security model, and allows provenance owners to control the disclosure of their provenance graphs to one or more receivers through the assignment of security levels. Four technical work packages are described in the proposal. b) This research will contribute to the battle-space awareness objective, particularly in the automated production and deliveryof mission-related information to the tactical edge by facilitating the on-demand accessing, interpretation and trust evaluation of data from many different sources. In the area of InformationDominance the project will contribute to the decision-making superiority objective in rapid and accurate decision-making. The PI intends to make significant advancements in Big Data, machine reasoning and intelligence and data science involving the use of predictive analytics and reducing information down to its criticalelements theme and to some extent to the communications and networks objective, in the dynamic, scalable tactical communication networks theme, by providing capabilities to manipulate and interpret data. c) the AD will discuss the recently received proposal with Code 31. d) The chief outcome of the project will be a proof-of-concept system, evaluated by expert users, together with a road map for how to develop the proof-of-concept system into a tool that is usable in the field.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 04, 2017
- Source ID
- N629091712237
Entities
People
- Fiona J. McNeill
Organizations
- Heriot-Watt University
- Office of Naval Research
- United States Navy