Anomaly detection in radiation sensor data with application to transportation security

Olufemi A. Omitaomu; Auroop R. Ganguly; Bruce W. Patton; Vladimir A. Protopopescu

doi:10.1109/TITS.2009.2020190

Anomaly detection in radiation sensor data with application to transportation security

Olufemi A. Omitaomu, Auroop R. Ganguly, Bruce W. Patton, Vladimir A. Protopopescu

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

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.

Original language	English
Article number	4895667
Pages (from-to)	324-334
Number of pages	11
Journal	IEEE Transactions on Intelligent Transportation Systems
Volume	10
Issue number	2
DOIs	https://doi.org/10.1109/TITS.2009.2020190
State	Published - Jun 2009

Funding

Manuscript received September 19, 2007; revised August 6, 2008 and October 22, 2008. First published April 28, 2009; current version published June 2, 2009. This work was supported by the Laboratory Directed Research and Development Program of the Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy under Contract DE-AC05-00OR22725. The Associate Editor for this paper was D. Zeng.

Funders	Funder number
U.S. Department of Energy	DE-AC05-00OR22725
Oak Ridge National Laboratory

Keywords

Anomaly detection
Border and transportation security
Illicit radioactive material
Weigh station

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10.1109/TITS.2009.2020190

Cite this

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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.",

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Anomaly detection in radiation sensor data with application to transportation security

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