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Title: Neural network detection and identification of electronic devices based on their unintended emissions
Author (s): Haixiao Weng
Xiaopeng Dong
Xiao Hu
Beetner, Daryl G.
Hubing, Todd H.
Wunsch, Donald C.
Department/Lab Affiliations: Applied Computational Intelligence Laboratory
Electrical and Computer Engineering
Electromagnetic Compatibility Laboratory
Keywords: automated device detection
electromagnetic emissions
electromagnetic waves
electronic devices
neural nets
neural network detection
radio receivers
time-frequency plots
unintended emissions
Issue Date: 2005
Publisher: Institute of Electrical and Electronics Engineers
Citation: Haixiao Weng; Xiaopeng Dong; Xiao Hu; Beetner, D.G.; Hubing, T.; Wunsch, D., "Neural network detection and identification of electronic devices based on their unintended emissions" EMC 2005. 2005 International Symposium on Electromagnetic Compatibility. pp. 245- 249 Vol. 1, 8-12 Aug. 2005
Abstract: Electromagnetic emissions were measured from several radio receivers to demonstrate the possibility of detecting and identifying these devices based on their unintended emissions. Radiated fields from the different radio receivers have unique characteristics that can be used to identify these devices by analyzing time-frequency plots of measured radiation. A neural network was also developed for automated device detection.
Type: Article - Conference proceedings
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titleNeural network detection and identification of electronic devices based on their unintended emissions
contributor.authorHaixiao Weng
contributor.authorXiaopeng Dong
contributor.authorXiao Hu
contributor.authorBeetner, Daryl G.
contributor.authorHubing, Todd H.
contributor.authorWunsch, Donald C.
contributor.deptlabApplied Computational Intelligence Laboratory
contributor.deptlabElectrical and Computer Engineering
contributor.deptlabElectromagnetic Compatibility Laboratory
subjectautomated device detection
subjectelectromagnetic emissions
subjectelectromagnetic waves
subjectelectronic devices
subjectneural nets
subjectneural network detection
subjectradio receivers
subjecttime-frequency plots
subjectunintended emissions
date.issued2005
date.submitted2007
publisherInstitute of Electrical and Electronics Engineers
identifier.citationHaixiao Weng; Xiaopeng Dong; Xiao Hu; Beetner, D.G.; Hubing, T.; Wunsch, D., "Neural network detection and identification of electronic devices based on their unintended emissions" EMC 2005. 2005 International Symposium on Electromagnetic Compatibility. pp. 245- 249 Vol. 1, 8-12 Aug. 2005
identifier.pub.URI
http://ieeexplore.ieee.org/iel5/10111/32404/01513508.pdf?arnumber=151350
description.abstractElectromagnetic emissions were measured from several radio receivers to demonstrate the possibility of detecting and identifying these devices based on their unintended emissions. Radiated fields from the different radio receivers have unique characteristics that can be used to identify these devices by analyzing time-frequency plots of measured radiation. A neural network was also developed for automated device detection.
typeArticle - Conference proceedings
type.DCMITypetext
type.statusFinal version
rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
rights.URI
http://www.ieee.org/web/publications/rights/policies.html
date.accessioned2007-04-05T14:24:22Z
date.available2007-04-05T14:24:22Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/01513508_09007dcc8030d700.html
Full Text
01513508_09007dcc8030d705.pdf