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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 text | |
| Copyright Notice: | This 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. FULL COPYRIGHT INFORMATION: | |
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| title | Neural network detection and identification of electronic devices based on their unintended emissions | |
| contributor.author | Haixiao Weng | |
| contributor.author | Xiaopeng Dong | |
| contributor.author | Xiao Hu | |
| contributor.author | Beetner, Daryl G. | |
| contributor.author | Hubing, Todd H. | |
| contributor.author | Wunsch, Donald C. | |
| contributor.deptlab | Applied Computational Intelligence Laboratory | |
| contributor.deptlab | Electrical and Computer Engineering | |
| contributor.deptlab | Electromagnetic Compatibility Laboratory | |
| subject | automated device detection | |
| subject | electromagnetic emissions | |
| subject | electromagnetic waves | |
| subject | electronic devices | |
| subject | neural nets | |
| subject | neural network detection | |
| subject | radio receivers | |
| subject | time-frequency plots | |
| subject | unintended emissions | |
| date.issued | 2005 | |
| date.submitted | 2007 | |
| publisher | Institute of Electrical and Electronics Engineers | |
| identifier.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 | |
| identifier.pub.URI | ||
| description.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 | |
| type.DCMIType | text | |
| type.status | Final version | |
| rights | This 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 | ||
| date.accessioned | 2007-04-05T14:24:22Z | |
| date.available | 2007-04-05T14:24:22Z | |
| identifier.persist.URI | ||
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