Title
Anomaly detection in radiation sensor data with application to transportation security
Abstract
In this paper, we present a new approach for detecting trucks transporting illicit radioactive materials using radiation data. The approach is motivated by the high number of false alarms that typically results when using radiation portal monitors. Our approach is a three-stage anomaly detection process that consists of transforming the radiation sensor data into wavelet coefficients, representing the transformed data in binary form, and detecting anomalies among data sets using a proximity-based method. The approach is evaluated using simulated radiation data, and the results are encouraging. From a transportation security perspective, our results indicate that the concomitant use of gross count and spectroscopy radiation data improves identification of trucks transporting illicit radioactive materials. The results also suggest that the use of additional heterogeneous data with radiation data may enhance the reliability of the detection process. Further testing with real radiation data and mixture of cargo is needed to fully validate the results.
Year
DOI
Venue
2009
10.1109/TITS.2009.2020190
IEEE Transactions on Intelligent Transportation Systems
Keywords
Field
DocType
anomaly detection,additional heterogeneous data,radiation portal monitor,transportation security,concomitant use,real radiation data,radiation data,spectroscopy radiation data,radiation sensor data,new approach,illicit radioactive material,simulated radiation data,data security,testing,energy conservation,radioactive materials,wavelet transforms,isotopes,reliability,security,inspection,radiation detectors,mixtures,spectroscopy
Anomaly detection,Data security,Data set,Computer security,Real-time computing,Artificial intelligence,Wavelet,Wavelet transform,Radiation Portal Monitor,Computer vision,Binary data,Engineering,Constant false alarm rate
Journal
Volume
Issue
ISSN
10
2
1524-9050
Citations 
PageRank 
References 
8
0.72
6
Authors
4
Name
Order
Citations
PageRank
Olufemi A. Omitaomu132117.51
Auroop R. Ganguly228629.53
Bruce W. Patton380.72
vladimir a protopopescu4383.63