Rampart: A service and agent-based architecture for anti-terrorism planning and resource allocation

Steven R. Haynes; Thomas George Kannampallil; Mark A. Cohen; Andrey Soares; Frank E. Ritter

doi:10.1007/978-3-540-89900-6_26

Rampart: A service and agent-based architecture for anti-terrorism planning and resource allocation

Steven R. Haynes, Thomas George Kannampallil, Mark A. Cohen, Andrey Soares, Frank E. Ritter

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

This paper describes a novel architecture for anti-terrorism planning and resource allocation systems. The architecture uses web services and agents to provide a re-usable and extensible architecture for these types of systems. A dynamic web-based client and custom middle ware provide for the integration of otherwise de-coupled software components. The architecture has evolved from a longitudinal field study of U.S. Marine Corps anti-terrorism planners through recent empirical work in a more controlled setting. We describe this evolution, the architecture and its rationale, and provide some lessons learned for others engaged in development of anti-terrorism systems.

Original language	English (US)
Title of host publication	Intelligence and Security Informatics - First European Conference, EuroISI 2008, Proceedings
Pages	260-270
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-540-89900-6_26
State	Published - 2008
Event	1st European Conference on Intelligence and Security Informatics, EuroISI 2008 - Esbjerg, Denmark Duration: Dec 3 2008 → Dec 5 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5376 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	1st European Conference on Intelligence and Security Informatics, EuroISI 2008
Country/Territory	Denmark
City	Esbjerg
Period	12/3/08 → 12/5/08

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-540-89900-6_26

Cite this

Haynes, S. R., Kannampallil, T. G., Cohen, M. A., Soares, A., & Ritter, F. E. (2008). Rampart: A service and agent-based architecture for anti-terrorism planning and resource allocation. In Intelligence and Security Informatics - First European Conference, EuroISI 2008, Proceedings (pp. 260-270). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5376 LNCS). https://doi.org/10.1007/978-3-540-89900-6_26

Haynes, Steven R. ; Kannampallil, Thomas George ; Cohen, Mark A. et al. / Rampart : A service and agent-based architecture for anti-terrorism planning and resource allocation. Intelligence and Security Informatics - First European Conference, EuroISI 2008, Proceedings. 2008. pp. 260-270 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This paper describes a novel architecture for anti-terrorism planning and resource allocation systems. The architecture uses web services and agents to provide a re-usable and extensible architecture for these types of systems. A dynamic web-based client and custom middle ware provide for the integration of otherwise de-coupled software components. The architecture has evolved from a longitudinal field study of U.S. Marine Corps anti-terrorism planners through recent empirical work in a more controlled setting. We describe this evolution, the architecture and its rationale, and provide some lessons learned for others engaged in development of anti-terrorism systems.",

author = "Haynes, {Steven R.} and Kannampallil, {Thomas George} and Cohen, {Mark A.} and Andrey Soares and Ritter, {Frank E.}",

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Haynes, SR, Kannampallil, TG, Cohen, MA, Soares, A & Ritter, FE 2008, Rampart: A service and agent-based architecture for anti-terrorism planning and resource allocation. in Intelligence and Security Informatics - First European Conference, EuroISI 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5376 LNCS, pp. 260-270, 1st European Conference on Intelligence and Security Informatics, EuroISI 2008, Esbjerg, Denmark, 12/3/08. https://doi.org/10.1007/978-3-540-89900-6_26

Rampart: A service and agent-based architecture for anti-terrorism planning and resource allocation. / Haynes, Steven R.; Kannampallil, Thomas George; Cohen, Mark A. et al.
Intelligence and Security Informatics - First European Conference, EuroISI 2008, Proceedings. 2008. p. 260-270 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5376 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - This paper describes a novel architecture for anti-terrorism planning and resource allocation systems. The architecture uses web services and agents to provide a re-usable and extensible architecture for these types of systems. A dynamic web-based client and custom middle ware provide for the integration of otherwise de-coupled software components. The architecture has evolved from a longitudinal field study of U.S. Marine Corps anti-terrorism planners through recent empirical work in a more controlled setting. We describe this evolution, the architecture and its rationale, and provide some lessons learned for others engaged in development of anti-terrorism systems.

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Haynes SR, Kannampallil TG, Cohen MA, Soares A, Ritter FE. Rampart: A service and agent-based architecture for anti-terrorism planning and resource allocation. In Intelligence and Security Informatics - First European Conference, EuroISI 2008, Proceedings. 2008. p. 260-270. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-89900-6_26

Rampart: A service and agent-based architecture for anti-terrorism planning and resource allocation

Abstract

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All Science Journal Classification (ASJC) codes

UN SDGs

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