{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:39:07Z","timestamp":1781109547316,"version":"3.54.1"},"reference-count":22,"publisher":"IGI Global Scientific Publishing","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,10,1]]},"abstract":"<p>Radio Frequency (RF) devices produce some amount of Unintended Electromagnetic Emissions (UEEs). UEEs are generally unique to a device and can be used as a signature for the purpose of detection and identification. The problem with UEEs is that they are very low in power and are often buried deep inside the noise band. The research herein provides the application of Support Vector Machine (SVM) for detection and identification of RF devices using their UEEs. Experimental Results shows that SVM can detect RF devices within the noise band, and can also identify RF devices using their UEEs.<\/p>","DOI":"10.4018\/ijitn.2013100102","type":"journal-article","created":{"date-parts":[[2014,4,16]],"date-time":"2014-04-16T14:55:50Z","timestamp":1397660150000},"page":"13-20","source":"Crossref","is-referenced-by-count":0,"title":["Detection and Recognition of RF Devices Using Support Vector Machine"],"prefix":"10.4018","volume":"5","author":[{"given":"Shikhar P.","family":"Acharya","sequence":"first","affiliation":[{"name":"Missouri University of Science and Technology, Rolla, MO, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ivan G.","family":"Guardiola","sequence":"additional","affiliation":[{"name":"Missouri University of Science and Technology, Rolla, MO, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijitn.2013100102-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2012.01.071"},{"key":"ijitn.2013100102-1","doi-asserted-by":"crossref","unstructured":"Acharya, S. P., & Guardiola, I. G. (2013, April). Detection of RF devices based on their unintended electromagnetic emissions using principal components analysis. In Proceedings of the Wireless Telecommunications Symposium (WTS) (pp. 1-5). IEEE.","DOI":"10.1109\/WTS.2013.6566247"},{"key":"ijitn.2013100102-2","doi-asserted-by":"crossref","unstructured":"Bole, M. K., McGraw, J., Ryan, F., Hawley, T., Davis, M., & Van, T. (2009, May). Integrated passive electronic signature modeling. In Proceedings of the SPIE Defense, Security, and Sensing (pp. 73240Y-73240Y). International Society for Optics and Photonics.","DOI":"10.1117\/12.822117"},{"key":"ijitn.2013100102-3","doi-asserted-by":"crossref","unstructured":"Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992, July). A training algorithm for optimal margin classifiers. In Proceedings of the Fifth Annual Workshop on Computational learning theory (pp. 144-152). ACM.","DOI":"10.1145\/130385.130401"},{"key":"ijitn.2013100102-4","doi-asserted-by":"publisher","DOI":"10.1007\/s10661-006-1495-5"},{"key":"ijitn.2013100102-5","doi-asserted-by":"publisher","DOI":"10.1109\/TEMC.2006.882841"},{"key":"ijitn.2013100102-6","doi-asserted-by":"crossref","unstructured":"Ely, J. J., Fuller, G. L., & Shaver, T. W. (2002). Ultrawideband electromagnetic interference to aircraft radios. In Proceedings of the 21st Digital Avionics Systems Conference (Vol. 2, pp. 13E4-1). IEEE.","DOI":"10.1109\/DASC.2002.1053020"},{"key":"ijitn.2013100102-7","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2011.04.023"},{"key":"ijitn.2013100102-8","doi-asserted-by":"publisher","DOI":"10.1109\/TEMC.2012.2203602"},{"key":"ijitn.2013100102-9","author":"S.Haykin","year":"1994","journal-title":"Neural networks: A comprehensive foundation"},{"key":"ijitn.2013100102-10","doi-asserted-by":"publisher","DOI":"10.1117\/12.883223"},{"key":"ijitn.2013100102-11","author":"J. G.Proakis","year":"2001","journal-title":"Digital communications"},{"key":"ijitn.2013100102-12","unstructured":"Seguin, S. A. (2009). Detection of low cost radio frequency receivers based on their unintended electromagnetic emissions and an active stimulation. Ph.D. dissertation, Missouri S&T."},{"key":"ijitn.2013100102-13","doi-asserted-by":"crossref","unstructured":"Sekiguchi, H., & Seto, S. (2008, May). Proposal of an information signal measurement method in display image contained in electromagnetic noise emanated from a personal computer. In Proceedings of the Instrumentation and Measurement Technology Conference Proceedings (IMTC 2008) (pp. 1859-1863). IEEE.","DOI":"10.1109\/IMTC.2008.4547348"},{"key":"ijitn.2013100102-14","doi-asserted-by":"crossref","unstructured":"Shaik, A., Weng, H., Dong, X., Hubing, T. H., & Beetner, D. G. (2006). Matched filter detection and identification of electronic circuits based on their unintentional radiated emissions. In Proceedings of the 2006 IEEE International Symposium on Electromagnetic Compatibility (vol. 3, pp. 853-856). Institute of Electrical and Electronics Engineers IEEE.","DOI":"10.1109\/ISEMC.2006.1706430"},{"key":"ijitn.2013100102-15","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2010.2101330"},{"key":"ijitn.2013100102-16","author":"T.Strother","year":"2007","journal-title":"Cell phone use by insurgents in Iraq"},{"key":"ijitn.2013100102-17","unstructured":"Subedi, S. K. (2012). Experimental investigation of RF fading channels and receiver detection. Masters Thesis, Missouri S&T."},{"key":"ijitn.2013100102-18","doi-asserted-by":"publisher","DOI":"10.1117\/12.919375"},{"key":"ijitn.2013100102-19","doi-asserted-by":"crossref","unstructured":"Tryon, G. V. (2008, April). Millimeter wave case study of operational deployments: retail, airport, military, courthouse, and customs. In SPIE Defense and Security Symposium (pp. 694802-694802). International Society for Optics and Photonics.","DOI":"10.1117\/12.768384"},{"key":"ijitn.2013100102-20","author":"V. N.Vapnik","year":"1998","journal-title":"Statistical learning theory"},{"key":"ijitn.2013100102-21","doi-asserted-by":"crossref","unstructured":"Weng, H., Dong, X., Hu, X., Beetner, D. G., Hubing, T., & Wunsch, D. (2005, August). Neural network detection and identification of electronic devices based on their unintended emissions. In 2005 Proceedings of the International Symposium on Electromagnetic Compatibility (EMC 2005) (Vol. 1, pp. 245-249). IEEE.","DOI":"10.1109\/ISEMC.2005.1513508"}],"container-title":["International Journal of Interdisciplinary Telecommunications and Networking"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=105583","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T07:52:41Z","timestamp":1746172361000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/ijitn.2013100102"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2013,10,1]]},"references-count":22,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2013,10]]}},"URL":"https:\/\/doi.org\/10.4018\/ijitn.2013100102","relation":{},"ISSN":["1941-8663","1941-8671"],"issn-type":[{"value":"1941-8663","type":"print"},{"value":"1941-8671","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,10,1]]}}}