The Experts below are selected from a list of 975 Experts worldwide ranked by ideXlab platform
Lee J. Mitchell - One of the best experts on this subject based on the ideXlab platform.
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Cross country background measurements with high purity germanium
2011 IEEE Nuclear Science Symposium Conference Record, 2011Co-Authors: Lee J. Mitchell, Bernard F. Phlips, Eric A. Wulf, Anthony L. Hutcheson, Byron E. LeasAbstract:Background measurements were made with twenty-eight high purity germanium detectors (HPGe) on the Mobil Imaging and Spectroscopic Threat Identification (MISTI) system across a portion of the Continental United States (CONUS). MISTI was developed by the Naval Research Laboratory(NRL) for the Domestic Nuclear Detection Office (DNDO) as part of the Stand off Radiation Detection Systems (SORDS) program. Measurements were made from Washington D.C. to Pocatello, Idaho, during the dates of Mar 25, 2011 to Mar 28, 2011. The effect of variable backgrounds on detection sensitivities will be discussed. An opportunity was also afforded to measure the radioactive materials released from Japan's Fukushima I Nuclear Plant across a significant portion of CONUS. A description of the instrument and results are discussed.
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Mobile imaging and Spectroscopic Threat Identification (MISTI): System overview
2009 IEEE Nuclear Science Symposium Conference Record (NSS MIC), 2009Co-Authors: Lee J. Mitchell, Bernard F. Phlips, Neil W. Johnson, Eric A. Wulf, Anthony L. Hutcheson, C. J. Lister, Kelia D. Bynum, Byron E. Leas, Gerald GuadagnoAbstract:The Mobile Imaging and Spectroscopic Threat Identification (MISTI) system developed to locate radiological Threats in urban and rural environments is currently undergoing characterization activities. MISTI is a mobile source detection and imaging system designed to identify and localize a radiological source to within +/- 10 m in range. This requirement is based on a 1 mCi Cs-137 source at 100 m in 20s, while maintaining a false alarm rate of less than one per day. MISTI utilizes the cost effective collection power of NaI for imaging and the sensitivity of high resolution HPGe for spectroscopy. MISTI's data acquisition system was developed with the latest commercially availed hardware that met MISTI's requirements. The performance of crucial software and hardware components is presented along with overall system performance. A synopsis and example of the initial characterization results are presented here.
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Mobile imaging and spectroscopic Threat Identification (MISTI)
2008 IEEE Nuclear Science Symposium Conference Record, 2008Co-Authors: Lee J. Mitchell, Bernard F. Phlips, Neil W. Johnson, Eric A. Wulf, C. J. Lister, Kelia D. Bynum, Byron E. Leas, Robert Roberts, Gerald GuadagnoAbstract:Characteristic gamma-radiation can be used to identify radiological Threats, however gamma-ray detection and imaging is extremely difficult due to the low interaction probability and inability to focus high energy photons. MISTI’s hybrid system combines the exceptional spectroscopic capabilities of germanium with the cost effective collection power of a large volume sodium iodide imaging array. The system is a mobile, self contained, gamma-ray spectroscopy and imaging system for detecting radiological Threats. While moving, the MISTI system is designed to detect sources of nuclear materials, such as a 1mCi Cs-137 source at distances up to 100m in 20s. The spectroscopic Identification is performed using a 28 detector germanium array, which in turn triggers imaging using a 10x10 sodium iodide array, when a source is detected. The project is composed of commercial off the shelf technology, allowing a quicker transition from the design phase to the construction phase, reducing total cost. The data from the sensor will be analyzed in real time on board the vehicle and is combined with images and data from other instruments to provide users with a visual location of the source. MISTI’s unique design reduces false alarms, while improving weak source location and Identification in urban and rural environments.
Gerald Guadagno - One of the best experts on this subject based on the ideXlab platform.
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Mobile imaging and Spectroscopic Threat Identification (MISTI): System overview
2009 IEEE Nuclear Science Symposium Conference Record (NSS MIC), 2009Co-Authors: Lee J. Mitchell, Bernard F. Phlips, Neil W. Johnson, Eric A. Wulf, Anthony L. Hutcheson, C. J. Lister, Kelia D. Bynum, Byron E. Leas, Gerald GuadagnoAbstract:The Mobile Imaging and Spectroscopic Threat Identification (MISTI) system developed to locate radiological Threats in urban and rural environments is currently undergoing characterization activities. MISTI is a mobile source detection and imaging system designed to identify and localize a radiological source to within +/- 10 m in range. This requirement is based on a 1 mCi Cs-137 source at 100 m in 20s, while maintaining a false alarm rate of less than one per day. MISTI utilizes the cost effective collection power of NaI for imaging and the sensitivity of high resolution HPGe for spectroscopy. MISTI's data acquisition system was developed with the latest commercially availed hardware that met MISTI's requirements. The performance of crucial software and hardware components is presented along with overall system performance. A synopsis and example of the initial characterization results are presented here.
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Mobile imaging and spectroscopic Threat Identification (MISTI)
2008 IEEE Nuclear Science Symposium Conference Record, 2008Co-Authors: Lee J. Mitchell, Bernard F. Phlips, Neil W. Johnson, Eric A. Wulf, C. J. Lister, Kelia D. Bynum, Byron E. Leas, Robert Roberts, Gerald GuadagnoAbstract:Characteristic gamma-radiation can be used to identify radiological Threats, however gamma-ray detection and imaging is extremely difficult due to the low interaction probability and inability to focus high energy photons. MISTI’s hybrid system combines the exceptional spectroscopic capabilities of germanium with the cost effective collection power of a large volume sodium iodide imaging array. The system is a mobile, self contained, gamma-ray spectroscopy and imaging system for detecting radiological Threats. While moving, the MISTI system is designed to detect sources of nuclear materials, such as a 1mCi Cs-137 source at distances up to 100m in 20s. The spectroscopic Identification is performed using a 28 detector germanium array, which in turn triggers imaging using a 10x10 sodium iodide array, when a source is detected. The project is composed of commercial off the shelf technology, allowing a quicker transition from the design phase to the construction phase, reducing total cost. The data from the sensor will be analyzed in real time on board the vehicle and is combined with images and data from other instruments to provide users with a visual location of the source. MISTI’s unique design reduces false alarms, while improving weak source location and Identification in urban and rural environments.
Valentina Viduto - One of the best experts on this subject based on the ideXlab platform.
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A Visualisation Technique for the Identification of Security Threats in Networked Systems
2010 14th International Conference Information Visualisation, 2010Co-Authors: Carsten Maple, Valentina VidutoAbstract:This paper is primarily focused on the increased IT complexity problem and the Identification of security Threats in networked systems. Modern networking systems, applications and services are found to be more complex in terms of integration and distribution, therefore, harder to be managed and protected. CIOs have to put their effort on Threat's Identification, risk management and security evaluation processes. Objective decision making requires measuring, identifying and evaluating all enterprise events, either positive (opportunities) or negative (risks) and keeping them in perspective with the business objectives. Our approach is based on a visualisation technique that helps in decision making process, focusing on the Threat Identification using attack scenarios. For constructing attack scenarios we use the notion of attack graphs, as well as layered security approach. The proposed onion skin model combines attack graphs and security layers to illustrate possible Threats and shortest paths to the attacker's goal. By providing few examples we justify the advantage of the Threat Identification technique in decision making process.
Byron E. Leas - One of the best experts on this subject based on the ideXlab platform.
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Cross country background measurements with high purity germanium
2011 IEEE Nuclear Science Symposium Conference Record, 2011Co-Authors: Lee J. Mitchell, Bernard F. Phlips, Eric A. Wulf, Anthony L. Hutcheson, Byron E. LeasAbstract:Background measurements were made with twenty-eight high purity germanium detectors (HPGe) on the Mobil Imaging and Spectroscopic Threat Identification (MISTI) system across a portion of the Continental United States (CONUS). MISTI was developed by the Naval Research Laboratory(NRL) for the Domestic Nuclear Detection Office (DNDO) as part of the Stand off Radiation Detection Systems (SORDS) program. Measurements were made from Washington D.C. to Pocatello, Idaho, during the dates of Mar 25, 2011 to Mar 28, 2011. The effect of variable backgrounds on detection sensitivities will be discussed. An opportunity was also afforded to measure the radioactive materials released from Japan's Fukushima I Nuclear Plant across a significant portion of CONUS. A description of the instrument and results are discussed.
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Mobile imaging and Spectroscopic Threat Identification (MISTI): System overview
2009 IEEE Nuclear Science Symposium Conference Record (NSS MIC), 2009Co-Authors: Lee J. Mitchell, Bernard F. Phlips, Neil W. Johnson, Eric A. Wulf, Anthony L. Hutcheson, C. J. Lister, Kelia D. Bynum, Byron E. Leas, Gerald GuadagnoAbstract:The Mobile Imaging and Spectroscopic Threat Identification (MISTI) system developed to locate radiological Threats in urban and rural environments is currently undergoing characterization activities. MISTI is a mobile source detection and imaging system designed to identify and localize a radiological source to within +/- 10 m in range. This requirement is based on a 1 mCi Cs-137 source at 100 m in 20s, while maintaining a false alarm rate of less than one per day. MISTI utilizes the cost effective collection power of NaI for imaging and the sensitivity of high resolution HPGe for spectroscopy. MISTI's data acquisition system was developed with the latest commercially availed hardware that met MISTI's requirements. The performance of crucial software and hardware components is presented along with overall system performance. A synopsis and example of the initial characterization results are presented here.
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Mobile imaging and spectroscopic Threat Identification (MISTI)
2008 IEEE Nuclear Science Symposium Conference Record, 2008Co-Authors: Lee J. Mitchell, Bernard F. Phlips, Neil W. Johnson, Eric A. Wulf, C. J. Lister, Kelia D. Bynum, Byron E. Leas, Robert Roberts, Gerald GuadagnoAbstract:Characteristic gamma-radiation can be used to identify radiological Threats, however gamma-ray detection and imaging is extremely difficult due to the low interaction probability and inability to focus high energy photons. MISTI’s hybrid system combines the exceptional spectroscopic capabilities of germanium with the cost effective collection power of a large volume sodium iodide imaging array. The system is a mobile, self contained, gamma-ray spectroscopy and imaging system for detecting radiological Threats. While moving, the MISTI system is designed to detect sources of nuclear materials, such as a 1mCi Cs-137 source at distances up to 100m in 20s. The spectroscopic Identification is performed using a 28 detector germanium array, which in turn triggers imaging using a 10x10 sodium iodide array, when a source is detected. The project is composed of commercial off the shelf technology, allowing a quicker transition from the design phase to the construction phase, reducing total cost. The data from the sensor will be analyzed in real time on board the vehicle and is combined with images and data from other instruments to provide users with a visual location of the source. MISTI’s unique design reduces false alarms, while improving weak source location and Identification in urban and rural environments.
Shikharesh Majumdar - One of the best experts on this subject based on the ideXlab platform.
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Automated Threat Identification for UML
2010 International Conference on Security and Cryptography (SECRYPT), 2010Co-Authors: Shikharesh MajumdarAbstract:In tandem with the growing important roles of software in modern society is the increasing number of Threats to software. Building software systems that are resistant to these Threats is one of the greatest challenges in information technology. Threat Identification methods for secure software development can be found in the literature. However, none of these methods has involved automatic Threat Identification based on analyzing UML models. Such an automated approach should offer benefits in terms of speed and accuracy when compared to manual methods, and at the same time be widely applicable due to the ubiquity of UML. This paper addresses this shortcoming by proposing an automated Threat Identification method based on parsing UML diagrams.
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SECRYPT - Automated Threat Identification for UML
2010Co-Authors: Shikharesh MajumdarAbstract:In tandem with the growing important roles of software in modern society is the increasing number of Threats to software. Building software systems that are resistant to these Threats is one of the greatest challenges in information technology. Threat Identification methods for secure software development can be found in the literature. However, none of these methods has involved automatic Threat Identification based on analyzing UML models. Such an automated approach should offer benefits in terms of speed and accuracy when compared to manual methods, and at the same time be widely applicable due to the ubiquity of UML. This paper addresses this shortcoming by proposing an automated Threat Identification method based on parsing UML diagrams.
