{"id":"https://openalex.org/W2898413119","doi":"https://doi.org/10.23919/tma.2018.8506558","title":"Mobile Encrypted Traffic Classification Using Deep Learning","display_name":"Mobile Encrypted Traffic Classification Using Deep Learning","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2898413119","doi":"https://doi.org/10.23919/tma.2018.8506558","mag":"2898413119"},"language":"en","primary_location":{"id":"doi:10.23919/tma.2018.8506558","doi":"https://doi.org/10.23919/tma.2018.8506558","is_oa":false,"landing_page_url":"https://doi.org/10.23919/tma.2018.8506558","pdf_url":null,"source":{"id":"https://openalex.org/S7407086183","display_name":"Network Traffic Measurement and Analysis Conference (TMA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Network Traffic Measurement and Analysis Conference (TMA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059880462","display_name":"Giuseppe Aceto","orcid":"https://orcid.org/0000-0002-4445-6259","observed_orcids":["https://orcid.org/0000-0002-4445-6259"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giuseppe Aceto","raw_affiliation_strings":["NM2 s.r.l., Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NM2 s.r.l., Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068466049","display_name":"Domenico Ciuonzo","orcid":"https://orcid.org/0000-0002-6230-2958","observed_orcids":["https://orcid.org/0000-0002-6230-2958"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Domenico Ciuonzo","raw_affiliation_strings":["NM2 s.r.l., Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NM2 s.r.l., Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000897225","display_name":"Antonio Montieri","orcid":"https://orcid.org/0000-0003-4340-442X","observed_orcids":["https://orcid.org/0000-0003-4340-442X"]},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Montieri","raw_affiliation_strings":["University of Napoli \u201cFederico II\u201d, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Napoli \u201cFederico II\u201d, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064292700","display_name":"Antonio Pescap\u00e8","orcid":"https://orcid.org/0000-0002-0221-7444","observed_orcids":["https://orcid.org/0000-0002-0221-7444"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antonio Pescape","raw_affiliation_strings":["NM2 s.r.l., Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NM2 s.r.l., Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.6363,"has_fulltext":false,"cited_by_count":153,"citation_normalized_percentile":{"value":0.97826757,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12799","display_name":"Mobile and Web Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/encrypted-traffic","display_name":"encrypted traffic","score":0.9620000123977661},{"id":"https://openalex.org/keywords/deep-learning-classifier","display_name":"deep learning classifier","score":0.7289999723434448},{"id":"https://openalex.org/keywords/automatic-feature-extraction","display_name":"automatic feature extraction","score":0.8550000190734863},{"id":"https://openalex.org/keywords/application-identification","display_name":"application identification","score":0.6240000128746033},{"id":"https://openalex.org/keywords/tls","display_name":"TLS","score":0.6100000143051147},{"id":"https://openalex.org/keywords/deep-packet-inspection","display_name":"deep packet inspection","score":0.7429999709129333},{"id":"https://openalex.org/keywords/privacy","display_name":"privacy","score":0.5680000185966492},{"id":"https://openalex.org/keywords/classifier-evaluation","display_name":"classifier evaluation","score":0.699999988079071}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7924028635025024},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.742775559425354},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.7153280973434448},{"id":"https://openalex.org/C204679922","wikidata":"https://www.wikidata.org/wiki/Q734252","display_name":"Deep packet inspection","level":3,"score":0.6658812761306763},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6167967319488525},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.5760701894760132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5464335083961487},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5173458456993103},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.49872899055480957},{"id":"https://openalex.org/C2779145975","wikidata":"https://www.wikidata.org/wiki/Q347690","display_name":"Workbench","level":3,"score":0.4840218722820282},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.4823862612247467},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4808579087257385},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3608078956604004},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.26119232177734375},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.23971417546272278},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21076425909996033},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10101056098937988}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/tma.2018.8506558","doi":"https://doi.org/10.23919/tma.2018.8506558","is_oa":false,"landing_page_url":"https://doi.org/10.23919/tma.2018.8506558","pdf_url":null,"source":{"id":"https://openalex.org/S7407086183","display_name":"Network Traffic Measurement and Analysis Conference (TMA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Network Traffic Measurement and Analysis Conference (TMA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5378999710083008}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2002658930","https://openalex.org/W2010716466","https://openalex.org/W2077673877","https://openalex.org/W2096674597","https://openalex.org/W2108217512","https://openalex.org/W2149600645","https://openalex.org/W2188471597","https://openalex.org/W2190207511","https://openalex.org/W2218940187","https://openalex.org/W2343828539","https://openalex.org/W2467159119","https://openalex.org/W2506891351","https://openalex.org/W2532581038","https://openalex.org/W2750543401","https://openalex.org/W2750674396","https://openalex.org/W2761748950","https://openalex.org/W2767238993","https://openalex.org/W2768726319","https://openalex.org/W6744828926"],"related_works":["https://openalex.org/W2912386632","https://openalex.org/W3029652632","https://openalex.org/W2942239200","https://openalex.org/W2981318525","https://openalex.org/W3212625833","https://openalex.org/W3048832564","https://openalex.org/W2965537075","https://openalex.org/W2897202622","https://openalex.org/W4285326675","https://openalex.org/W4281624953"],"abstract_inverted_index":{"The":[0,51],"massive":[1],"adoption":[2,62],"of":[3,11,53,63,72,85,91,163,169,183],"hand-held":[4],"devices":[5],"has":[6],"led":[7],"to":[8,119],"the":[9,23,39,60,70,81,88,128],"explosion":[10],"mobile":[12,92,186],"traffic":[13,93,121],"volumes":[14],"traversing":[15],"home":[16],"and":[17,87,145,180],"enterprise":[18],"networks,":[19],"as":[20,22,34,67,76,115],"well":[21],"Internet.":[24],"Procedures":[25],"for":[26,41,151],"inferring":[27],"(mobile)":[28],"applications":[29],"generating":[30],"such":[31,75],"traffic,":[32],"known":[33],"Traffic":[35],"Classification":[36],"(TC),":[37],"are":[38,141],"enabler":[40],"highly-valuable":[42],"profiling":[43],"information":[44],"while":[45],"certainly":[46],"raise":[47],"important":[48],"privacy":[49],"issues.":[50],"design":[52,95,120,178],"accurate":[54],"classifiers":[55,122,172],"is":[56,173],"however":[57],"exacerbated":[58],"by":[59],"increasing":[61],"encrypted":[64,187],"protocols":[65],"(such":[66],"TLS),":[68],"hindering":[69],"applicability":[71],"highly-accurate":[73],"approaches,":[74],"deep":[77],"packet":[78],"inspection.":[79],"Additionally,":[80],"(daily)":[82],"expanding":[83],"set":[84,146],"apps":[86],"moving-target":[89],"nature":[90],"makes":[94],"solutions":[96],"with":[97],"usual":[98],"machine":[99],"learning,":[100],"based":[101,123],"on":[102,124,160],"manually-and":[103],"expert-originated":[104],"features,":[105,126],"outdated.":[106],"For":[107],"these":[108,170],"reasons,":[109],"we":[110],"suggest":[111],"Deep":[112],"Learning":[113],"(DL)":[114],"a":[116,148,155],"viable":[117],"strategy":[118],"automatically-extracted":[125],"reflecting":[127],"complex":[129],"mobile-traffic":[130],"patterns.":[131],"To":[132],"this":[133],"end,":[134],"different":[135],"state-of-the-art":[136],"DL":[137,171,184],"techniques":[138],"from":[139],"TC":[140],"here":[142],"reproduced,":[143],"dissected,":[144],"into":[147],"systematic":[149],"framework":[150],"comparison,":[152],"including":[153],"also":[154],"performance":[156,168],"evaluation":[157],"workbench.":[158],"Based":[159],"three":[161],"datasets":[162],"real":[164],"human":[165],"users'":[166],"activity,":[167],"critically":[174],"investigated,":[175],"highlighting":[176],"pitfalls,":[177],"guidelines,":[179],"open":[181],"issues":[182],"in":[185],"TC.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":28},{"year":2019,"cited_by_count":28},{"year":2018,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2018-11-02T00:00:00"}