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Design tools for complex dynamic security systems.
Author(s) -
Raymond H. Byrne,
James Brian Rigdon,
Brandon Rohrer,
Glenn Laguna,
Rush D. Robinett,
Kenneth N. Groom,
David G. Wilson,
Robert Bickerstaff,
John J. Harrington
Publication year - 2007
Language(s) - English
Resource type - Reports
DOI - 10.2172/902217
Subject(s) - computer science , complex system , computer security , distributed computing , systems engineering , artificial intelligence , engineering
The development of tools for complex dynamic security systems is not a straight forward engineering task but, rather, a scientific task where discovery of new scientific principles and math is necessary. For years, scientists have observed complex behavior but have had difficulty understanding it. Prominent examples include: insect colony organization, the stock market, molecular interactions, fractals, and emergent behavior. Engineering such systems will be an even greater challenge. This report explores four tools for engineered complex dynamic security systems: Partially Observable Markov Decision Process, Percolation Theory, Graph Theory, and Exergy/Entropy Theory. Additionally, enabling hardware technology for next generation security systems are described: a 100 node wireless sensor network, unmanned ground vehicle and unmanned aerial vehicle

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