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Secure information sharing and analysis for effective emergency management
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Source
dg.o; Vol. 289 archive
Proceedings of the 2008 international conference on Digital government research table of contents
Montreal, Canada
DEMONSTRATION SESSION: System demonstrations and posters table of contents
Pages 407-408  
Year of Publication: 2008
ISBN:978-1-60558-099-9
Authors
Nabil R. Adam  Rutgers University, Newark, NJ
Vijay Atluri  Rutgers University, Newark, NJ
Soon Ae Chun  City University of New York, Staten Island, NY
John Ellenberger  SAP Research, Eastern Region of North America
Basit Shafiq  Rutgers University, Newark, NJ
Jaideep Vaidya  Rutgers University, Newark, NJ
Hui Xiong  Rutgers University, Newark, NJ
Sponsors
: Routledge
: Elsevier
: Springer
: Cefrio
NCDG : National Center for Digital Government
Publisher
Bibliometrics
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ABSTRACT

Effective incident management and response requires timely and coordinated decision making. 9/11, Katrina and other emergent events demonstrate the need for effective information sharing and decision support at the operational as well as at the strategic levels. There has been significant work on emergency response at the first-responder level. This paper addresses the challenge of integrating, aggregating and securely sharing information to support situation awareness and response at the strategic level. Drawing on data from various autonomous systems, the system uses context-sensitive parameters to filter, integrate, and effectively visualize information necessary to get a common operational picture. One of the challenges is to facilitate information sharing in a secure manner. Information sharing remains a major barrier due to the privacy and ownership concerns on the data, and due to a wide variety of security policies adopted within different government agencies.



Collaborative Colleagues:
Nabil R. Adam: colleagues
Vijay Atluri: colleagues
Soon Ae Chun: colleagues
John Ellenberger: colleagues
Basit Shafiq: colleagues
Jaideep Vaidya: colleagues
Hui Xiong: colleagues