{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T02:59:12Z","timestamp":1775789952852,"version":"3.50.1"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"European Union Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie","award":["675891 (SCAVENGE)"],"award-info":[{"award-number":["675891 (SCAVENGE)"]}]},{"name":"Spanish Government","award":["TEC2017-88373-R (5G-REFINE)"],"award-info":[{"award-number":["TEC2017-88373-R (5G-REFINE)"]}]},{"name":"MIUR (Italian Ministry of Education, University and Research) through the initiative \u201cDepartments of Excellence\u201d"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Serv. Manage."],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1109\/tnsm.2020.3028197","type":"journal-article","created":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T20:09:41Z","timestamp":1601582981000},"page":"1946-1961","source":"Crossref","is-referenced-by-count":32,"title":["Mobile Traffic Classification Through Physical Control Channel Fingerprinting: A Deep Learning Approach"],"prefix":"10.1109","volume":"18","author":[{"given":"Hoang Duy","family":"Trinh","sequence":"first","affiliation":[]},{"given":"Angel","family":"Fernandez Gambin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3321-4761","authenticated-orcid":false,"given":"Lorenza","family":"Giupponi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1121-324X","authenticated-orcid":false,"given":"Michele","family":"Rossi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6756-0289","authenticated-orcid":false,"given":"Paolo","family":"Dini","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2019.1800819"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2017.11.007"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2016.2516020"},{"key":"ref32","first-page":"1075","article-title":"Automated classifier generation for application-level mobile traffic identification","author":"choi","year":"2012","journal-title":"Proc IEEE Netw Oper Manag Symp (NOMS)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.72"},{"key":"ref30","first-page":"1049","article-title":"Outlier estimation and detection application to skin lesion classification","author":"sigurdsson","year":"2002","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process (ICASSP)"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2019.2899085"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966078"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2012.6214146"},{"key":"ref34","first-page":"448","article-title":"An empirical investigation into CDMA network traffic classification based on feature selection","author":"yang","year":"2012","journal-title":"Proc IEEE Int Symp Wireless Pers Multimedia Commun (WPMC)"},{"key":"ref10","article-title":"The mobile data challenge: Big data for mobile computing research","author":"laurila","year":"2012","journal-title":"Proc Mobile Data Challenge Workshop (MDC)"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2912896"},{"key":"ref11","first-page":"1","article-title":"A multi-source dataset of urban life in the city of Milan and the Province of Trentino","volume":"2","author":"barlacchi","year":"2015","journal-title":"Data Science Journal"},{"key":"ref12","year":"2020"},{"key":"ref13","year":"2019"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2980159.2980163"},{"key":"ref15","year":"2016","journal-title":"E-UTRA Physical Layer Procedures"},{"key":"ref16","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref17","first-page":"3","article-title":"Rectifier nonlinearities improve neural network acoustic models","author":"maas","year":"2013","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref18","first-page":"26","article-title":"Divide the gradient by a running average of its recent magnitude","volume":"4","author":"tieleman","year":"2012","journal-title":"Neural Networks and Machine Learning"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2016.2637901"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.23919\/TMA.2018.8506558"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-28650-9_4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2014.6815891"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TrustCom.2016.0077"},{"key":"ref29","article-title":"Deep anomaly detection with outlier exposure","author":"hendrycks","year":"2018","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3143361.3143393"},{"key":"ref8","year":"2010","journal-title":"D2 3 Energy Efficiency Analysis of the Reference Systems Areas of Improvements and Target Breakdown"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2980055.2980057"},{"key":"ref2","year":"2017","journal-title":"Cisco Visual Networking Index Global Mobile Data Traffic Forecast Update"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2016.2623950"},{"key":"ref1","year":"2018","journal-title":"Ericsson Mobility Report"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1049\/cp:19991218"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.09.005"},{"key":"ref21","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.001.1900101"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1080\/00031305.1992.10475879","article-title":"An introduction to kernel and nearest-neighbor nonparametric regression","volume":"46","author":"altman","year":"1992","journal-title":"Amer Stat"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2904897"},{"key":"ref23","first-page":"1871","article-title":"LIBLINEAR: A library for large linear classification","volume":"9","author":"fan","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1198\/016214507000000617"}],"container-title":["IEEE Transactions on Network and Service Management"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4275028\/9450206\/09210554.pdf?arnumber=9210554","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,15]],"date-time":"2024-08-15T08:33:33Z","timestamp":1723710813000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9210554\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6]]},"references-count":42,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tnsm.2020.3028197","relation":{},"ISSN":["1932-4537","2373-7379"],"issn-type":[{"value":"1932-4537","type":"electronic"},{"value":"2373-7379","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6]]}}}