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Application of autonomic agents for global information grid management and security
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Summer Computer Simulation Conference archive
Proceedings of the 2007 summer computer simulation conference table of contents
San Diego, California
SESSION: Military application & simulation: applications of emerging technologies for military M&S table of contents
Pages 1147-1154  
Year of Publication: 2007
ISBN:1-56555-316-0
Authors
Don P. Cox  University of Arizona, Tucson
Youssif Al-Nashif  University of Arizona, Tucson
Salim Hariri  University of Arizona, Tucson
Sponsor
SCS : Society for Modeling and Simulation International
Publisher
Society for Computer Simulation International  San Diego, CA, USA
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ABSTRACT

In the near future, the U.S. DoD will activate a newly created Global Information Grid (GIG) providing an agile, robust, interoperable and collaborative communication network. This GIG is viewed as the single most important contributor to combat power and protection [1]. The GIG can be characterized as a globally interconnected, end-to-end set of disparate information and processing capabilities available on-demand to warfighters, policymakers and support personnel.

Management of the GIG resources and operation will be, of necessity, intrinsic to the architecture and transparent to the user. The development an architecture that is secure against malicious exploitation, data or service denial and data corruption is a principal focus. Introduction of mobile, adhoc network elements having intermittent network connectivity and limited life exacerbates this problem. In this paper we explore the GIG and present an innovative application of Autonomic Agent technology currently in development that has the potential to automate many of the obligatory network management tasks. Additionally, we introduce a GIG Simulation Testbed that, utilizing Discrete Event System Specification (DEVS), is proving useful in simulating GIG operation at the node level for the analysis of agent-based detection and neutralization of network cyber attacks by malicious parties and programs.


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.

 
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Collaborative Colleagues:
Don P. Cox: colleagues
Youssif Al-Nashif: colleagues
Salim Hariri: colleagues