Abstract Details
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Activity Number:
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180
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Type:
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Contributed
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Date/Time:
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Monday, August 5, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #308938 |
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Title:
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Evolving Visualization of Intruder Paths in Sensor Networks
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Author(s):
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James Shine*+ and James E. Gentle
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Companies:
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and George Mason University
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Keywords:
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visualization ;
intruder identification ;
spatial mapping
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Abstract:
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This work builds on our previous efforts to identify intruder paths in sensor networks. Our previous work determined the probabilities that sensor activations were caused by different potential intruders, given the location of the sensor on a spatial grid and the distances and times between current and previous activations. In this paper we present a visualization algorithm to show possible intruder paths on a spatial grid as they develop, and we also show our intruder probability matrix as it develops in real time. These and other advances in the approach will be presented and discussed.
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Authors who are presenting talks have a * after their name.
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