{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:46:36Z","timestamp":1761597996537,"version":"3.37.3"},"reference-count":33,"publisher":"Wiley","license":[{"start":{"date-parts":[[2018,10,15]],"date-time":"2018-10-15T00:00:00Z","timestamp":1539561600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Security and Communication Networks"],"published-print":{"date-parts":[[2018,10,15]]},"abstract":"<jats:p>In the last decade, wireless multimedia device is widely used in many fields, which leads to efficiency improvement, reliability, security, and economic benefits in our daily life. However, with the rapid development of new technologies, the wireless multimedia data transmission security is confronted with a series of new threats and challenges. In physical layer, Radio Frequency Fingerprinting (RFF) is a unique characteristic of IoT devices themselves, which can difficultly be tampered. The wireless multimedia device identification via Radio Frequency Fingerprinting (RFF) extracted from radio signals is a physical-layer method for data transmission security. Just as people\u2019s unique fingerprinting, different Internet of Things (IoT) devices exhibit different RFF which can be used for identification and authentication. In this paper, a wireless multimedia device identification system based on Ensemble Learning is proposed. The key technologies such as signal detection, RFF extraction, and classification model are discussed. According to the theoretical modeling and experiment validation, the reliability and the differentiability of the RFFs are evaluated and the classification results are shown under the real wireless multimedia device environments.<\/jats:p>","DOI":"10.1155\/2018\/5264526","type":"journal-article","created":{"date-parts":[[2018,10,15]],"date-time":"2018-10-15T19:30:59Z","timestamp":1539631859000},"page":"1-9","source":"Crossref","is-referenced-by-count":20,"title":["An Ensemble Learning Method for Wireless Multimedia Device Identification"],"prefix":"10.1155","volume":"2018","author":[{"given":"Zhen","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yibing","family":"Li","sequence":"additional","affiliation":[{"name":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meiyu","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ya","family":"Tu","sequence":"additional","affiliation":[{"name":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5473-8738","authenticated-orcid":true,"given":"Jin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer & Communication Engineering, Changsha University of Science & Technology, Changsha 410114, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1007\/s10796-014-9492-7"},{"journal-title":"The Journal of Supercomputing","first-page":"1","year":"2017","key":"3"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-016-1947-9"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.bushor.2015.03.008"},{"issue":"1","key":"6","first-page":"1","volume":"14","year":"2018","journal-title":"ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2781424"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2790382"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2516102"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2011.274"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2683200"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2009.090404"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1109\/tifs.2016.2570740"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-28891-3_36"},{"journal-title":"Break WEP Faster with Statistical Analysis","year":"2006","key":"15"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2561902"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2779447"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1145\/2379776.2379782"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2016.2572725"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1109\/tifs.2016.2552146"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1109\/CJECE.2007.364330"},{"issue":"99","key":"28","first-page":"1","year":"2017","journal-title":"IEEE Transactions on Circuits &amp; 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