{"id":"https://openalex.org/W4407130125","doi":"https://doi.org/10.1109/icnp61940.2024.10858562","title":"Measuring Video QoE from Encrypted Traffic: A Collaborative Approach Using Machine Learning and Stalling Detection","display_name":"Measuring Video QoE from Encrypted Traffic: A Collaborative Approach Using Machine Learning and Stalling Detection","publication_year":2024,"publication_date":"2024-10-28","ids":{"openalex":"https://openalex.org/W4407130125","doi":"https://doi.org/10.1109/icnp61940.2024.10858562"},"language":"en","primary_location":{"id":"doi:10.1109/icnp61940.2024.10858562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp61940.2024.10858562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 32nd International Conference on Network Protocols (ICNP)","raw_type":"proceedings-article"},"type":"article","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/A5022327687","display_name":"Longjie Wang","orcid":"https://orcid.org/0000-0002-8179-0715"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Longjie Wang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057444599","display_name":"Wenyong Wang","orcid":"https://orcid.org/0000-0002-0860-9756"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyong Wang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101460605","display_name":"Wei Jiang","orcid":"https://orcid.org/0000-0003-2962-4709"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Jiang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392799","display_name":"Bin Zhang","orcid":"https://orcid.org/0000-0002-0097-2833"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qixun Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qixun Zhu","raw_affiliation_strings":["Sichuan Communication Surveying &#x0026; Design Institute Co., Ltd,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"Sichuan Communication Surveying &#x0026; Design Institute Co., Ltd,Chengdu,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071461784","display_name":"Jun Deng","orcid":"https://orcid.org/0000-0003-2619-8054"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Deng","raw_affiliation_strings":["NSFOCUS Information Chengdu Technology Co., LTD,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"NSFOCUS Information Chengdu Technology Co., LTD,Chengdu,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067295097","display_name":"Junrui Wu","orcid":"https://orcid.org/0000-0003-3658-9243"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junrui Wu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5022327687"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23958427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9857000112533569,"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":0.9857000112533569,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7883718013763428},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.720782995223999},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37898463010787964},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.36100345849990845},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3490927219390869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3373037278652191},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2943553924560547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7883718013763428},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.720782995223999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37898463010787964},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.36100345849990845},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3490927219390869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3373037278652191},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2943553924560547}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnp61940.2024.10858562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp61940.2024.10858562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 32nd International Conference on Network Protocols (ICNP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2555248751","https://openalex.org/W2622055490","https://openalex.org/W2731412463","https://openalex.org/W2742251916","https://openalex.org/W2790600716","https://openalex.org/W2810598854","https://openalex.org/W2898499449","https://openalex.org/W2951955003","https://openalex.org/W2963403784","https://openalex.org/W3034569383","https://openalex.org/W3041221479","https://openalex.org/W3096249913","https://openalex.org/W3176886883","https://openalex.org/W4239515884","https://openalex.org/W4282831877","https://openalex.org/W4392905073"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Video":[0],"stream":[1,208],"has":[2],"become":[3],"the":[4,8,22,38,101,114,133,149,227,242],"largest":[5],"part":[6],"of":[7,14,25,30,40,128,233],"Internet":[9,26],"traffic,":[10,61],"and":[11,51,98,142,201],"video":[12,31,58,83,118,172,207],"Quality":[13],"Experience":[15],"(QoE)":[16],"is":[17,78,96],"an":[18,79],"important":[19],"factor":[20],"affecting":[21],"overall":[23],"QoE":[24,59],"users.":[27],"Accurate":[28],"measurement":[29],"<tex":[32],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[33],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{Q":[34],"o":[35],"E}$</tex>":[36],"from":[37,171,185,236],"perspective":[39],"traffic":[41],"can":[42],"help":[43],"network":[44,49],"operators":[45],"to":[46,65,112,121,155,167,181,197,210,238,241],"better":[47],"plan":[48],"resources":[50],"improve":[52],"user":[53],"retention.":[54],"To":[55],"accurately":[56,168],"measure":[57,169],"through":[60],"multiple":[62],"factors":[63],"need":[64],"be":[66],"considered,":[67],"with":[68,204],"stalling":[69,115,178,183,195],"being":[70],"a":[71,126,164,177,212],"significant":[72],"one.":[73],"Mean":[74,229],"Opinion":[75],"Score":[76],"(MOS)":[77],"indicator":[80],"that":[81,136,222],"quantifies":[82],"QoE.":[84],"Traditionally,":[85],"labeling":[86],"MOS":[87,123,158,170,218,234],"for":[88,159,216],"videos":[89],"requires":[90],"subjective":[91],"quality":[92],"assessment":[93],"experiments,":[94],"which":[95],"time-consuming":[97],"labor-intensive.":[99],"Second,":[100],"statistical":[102,206],"features":[103,200,209],"used":[104],"by":[105],"traditional":[106],"machine":[107,213],"learning":[108,214],"methods":[109],"are":[110],"difficult":[111],"represent":[113],"events":[116,184,196],"in":[117],"steams,":[119],"leading":[120],"inaccurate":[122],"measurements.":[124],"Therefore,":[125],"number":[127],"past":[129],"studies":[130],"only":[131],"estimate":[132],"indirect":[134],"metrics":[135],"affect":[137],"MOS,":[138],"such":[139],"as":[140],"resolution":[141],"bitrate.":[143],"In":[144],"this":[145],"paper,":[146],"we":[147,162,175,192],"use":[148,193],"parametric":[150],"model":[151,215],"ITU-T":[152],"P.":[153],"1203":[154],"automatically":[156],"label":[157],"videos.":[160],"And":[161],"propose":[163],"two-stage":[165],"approach":[166],"traffic.":[173,190],"First,":[174],"introduce":[176],"detection":[179],"algorithm":[180],"identify":[182],"HTTP":[186],"Adaptive":[187],"Streaming":[188],"(HAS)":[189],"Then,":[191],"these":[194],"produce":[198],"secondary":[199],"combine":[202],"them":[203],"other":[205],"establish":[211],"direct":[217],"measuring.":[219],"Experiments":[220],"show":[221],"our":[223],"proposed":[224],"method":[225],"reduces":[226],"Root":[228],"Squared":[230],"Error":[231],"(RMSE)":[232],"estimation":[235],"0.455":[237],"0.406":[239],"compared":[240],"conventional":[243],"method.":[244]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}