Rampart: A Service and Agent-Based Architecture for Anti-Terrorism Planning and Resource Allocation

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

  • Affiliations:
  • College of Information Sciences & Technology, The Pennsylvania State University, University Park, USA PA 16802;College of Information Sciences & Technology, The Pennsylvania State University, University Park, USA PA 16802;Department of Business Administration, Computer Science, and Information Technology, Lock Haven University, Lock Haven, USA PA 17745;College of Information Sciences & Technology, The Pennsylvania State University, University Park, USA PA 16802;College of Information Sciences & Technology, The Pennsylvania State University, University Park, USA PA 16802

  • Venue:
  • EuroISI '08 Proceedings of the 1st European Conference on Intelligence and Security Informatics
  • Year:
  • 2008

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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.