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Secure-CITI Critical Information-Technology Infrastructure
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Proceedings of the 2006 international conference on Digital government research table of contents
San Diego, California
SESSION: Crisis management 3 table of contents
Pages: 253 - 254  
Year of Publication: 2006
Authors
Daniel Mossé  University of Pittsburgh
Louise Comfort  University of Pittsburgh
Ahmed Amer  University of Pittsburgh
José C. Brustoloni  University of Pittsburgh
Panos K. Chrysanthis  University of Pittsburgh
Milos Hauskrecht  University of Pittsburgh
Alexandros Labrinidis  University of Pittsburgh
Rami Melhem  University of Pittsburgh
Kirk Pruhs  University of Pittsburgh
Sponsor
NSF : National Science Foundation
Publisher
ACM  New York, NY, USA
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ABSTRACT

The Secure and robust Critical Information-Technology Infrastructure (S-CITI for short) project aims at providing support to Emergency Managers (EMs) that are faced with management of resources and with decisions before, during, and after emergencies or disasters. Our approach consists of using new and existing sensors to gather data from the field, processing this data to detect and predict emergency/disaster situations, and disseminating this data among the appropriate organizational units. The data flow will be done in a reliable and secure manner and EMs will coordinate actions in a Virtual Coordination Center (VCC), which need not be in a fixed (and thus vulnerable) physical location. The EMs are responsible for indicating what type of data is more valuable, so that S-CITI can display that information appropriately.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Comfort, L. K. Communication, Coherence, and Collective Action. Public Works Management & Policy., Sep. 2006.
 
2
Berfield, A., Chrysanthis, P. K., Labrinidis, A. Automated Service Integration for Crisis Management, 1st Int'l ACM Workshop on Databases in Virtual Organizations, 2004.
 
3
IISIS prototype, http://www.iisis.pitt.edu
 
4
Sharaf, M., Chrysanthis, P. K., and Labrinidis, A. Preemptive Rate-based Operator Scheduling in a Data Stream Management System. IEEE AICCSA, 2005.
 
5
Sharaf, M., Labrinidis A., Chrysanthis P. K., and Pruhs, K. Freshness-Aware Scheduling of Continuous Queries in the Dynamic Web. ACM WebDB, 2005.
 
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7
Gobriel S., Melhem, R., and Mossé, D. BLAM: An Energy-Aware MAC Layer Enhancement for Wireless Adhoc Networks. IEEE WCNC, 2005.
 
8
Brustoloni, J., Khattab, S., Santamaria, C., Smyth, B. and Mossé, D. Integration of Application-Layer Scheduling and Routing in Delay-Tolerant MANETs. Pitt CSD T. R., 2006
 
9
Khattab, S., Mossé, D., Melhem, R. Honeybees: Combining Replication and Evasion for Mitigating Basestation Jamming in Sensor Networks. WPDRTS, 2006.
 
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Xia, P., Chrysanthis, P., Labrinidis, A., Similarity-Aware Query Processing in Sensor Networks. WPDRTS, 2006.
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Li Q., Beaver J., Amer A., Chrysanthis P., Labrinidis A., Santhanakrishnan G. Multi-Criteria Routing in Wireless Sensor-Based Pervasive Environments, Journal of Pervasive Computing and Communications, Dec. 2005.
14


Collaborative Colleagues:
Daniel Mossé: colleagues
Louise Comfort: colleagues
Ahmed Amer: colleagues
José C. Brustoloni: colleagues
Panos K. Chrysanthis: colleagues
Milos Hauskrecht: colleagues
Alexandros Labrinidis: colleagues
Rami Melhem: colleagues
Kirk Pruhs: colleagues