Evaluation of Complex Surveillance Systems for Emergent Vulnerability
Date
2010-09-08T18:38:20Z
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Abstract
The current paradigm for testing tracking and surveillance
systems is to identify representative metrics for system
components, then optimize the performance of that metric
against test data. The assumption is that optimization of
individual components will optimize the surveillance system
as a whole. However, while optimizing components is
a necessary step to improve systems, it is not sufficient to
address vulnerabilities that emerge in a large system with
many components. A large surveillance system will have
many cameras and other sensors. In some cases, to cover
more area, the cameras and sensors may be mobile. Coverage
is unlikely to be complete in all areas at all times, so
sensor allocation will follow some policy. The combination
of sensors, sensor properties, mobility and policy can result
in a system that is vulnerable in ways that are difficult to
predict. We present a method to model and predict emergent
vulnerabilities in a complex surveillance system. To
demonstrate the method, we apply it to a downscaled physical
surveillance system that uses multiple stationary and
mobile camera platforms to monitor and defend against intrusions.
Our method finds two vulnerabilities in the system
in simulation, one of which we demonstrate with the physical
system.
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Keywords
Surveillance Systems