{"id":"https://openalex.org/W4402896928","doi":"https://doi.org/10.1109/iwqos61813.2024.10682894","title":"ExpMD: an Explainable Framework for Traffic Identification Based on Multi-Domain Features","display_name":"ExpMD: an Explainable Framework for Traffic Identification Based on Multi-Domain Features","publication_year":2024,"publication_date":"2024-06-19","ids":{"openalex":"https://openalex.org/W4402896928","doi":"https://doi.org/10.1109/iwqos61813.2024.10682894"},"language":"en","primary_location":{"id":"doi:10.1109/iwqos61813.2024.10682894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos61813.2024.10682894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5078558551","display_name":"Luming Yang","orcid":"https://orcid.org/0000-0002-5539-5025"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luming Yang","raw_affiliation_strings":["National University of Defense Technology,College of Computer,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695297","display_name":"Yongjun Wang","orcid":"https://orcid.org/0009-0009-1784-2435"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Wang","raw_affiliation_strings":["National University of Defense Technology,College of Computer,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342094","display_name":"Lin Liu","orcid":"https://orcid.org/0009-0009-8861-4237"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Liu","raw_affiliation_strings":["National University of Defense Technology,College of Computer,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037501616","display_name":"Junjie Huang","orcid":"https://orcid.org/0000-0003-2986-4665"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Huang","raw_affiliation_strings":["National University of Defense Technology,College of Computer,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082564456","display_name":"Shaojing Fu","orcid":"https://orcid.org/0000-0002-7275-8190"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojing Fu","raw_affiliation_strings":["National University of Defense Technology,College of Computer,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9610999822616577,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9610999822616577,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9379000067710876,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7587625980377197},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7266031503677368},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6096657514572144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32613372802734375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.049914777278900146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7587625980377197},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7266031503677368},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6096657514572144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32613372802734375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.049914777278900146},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwqos61813.2024.10682894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos61813.2024.10682894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2000756828","https://openalex.org/W2190207511","https://openalex.org/W2295598076","https://openalex.org/W2534437878","https://openalex.org/W2537766808","https://openalex.org/W2605422749","https://openalex.org/W2606697812","https://openalex.org/W2743678626","https://openalex.org/W2754353227","https://openalex.org/W2912924201","https://openalex.org/W2915004662","https://openalex.org/W2919493784","https://openalex.org/W2963065250","https://openalex.org/W2963403784","https://openalex.org/W2963516518","https://openalex.org/W2963775347","https://openalex.org/W2999615587","https://openalex.org/W3012902672","https://openalex.org/W3047014424","https://openalex.org/W3120227884","https://openalex.org/W3136284412","https://openalex.org/W3189612867","https://openalex.org/W3198307156","https://openalex.org/W4200472249","https://openalex.org/W4224315052","https://openalex.org/W4226033273","https://openalex.org/W4285184946","https://openalex.org/W4285292284","https://openalex.org/W4299301436","https://openalex.org/W4322706638","https://openalex.org/W4385577745","https://openalex.org/W4400762160","https://openalex.org/W6734194636"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Network":[0],"traffic":[1,22,50,100,133],"identification":[2,80,97,143],"has":[3],"a":[4,137,182],"significant":[5],"impact":[6],"on":[7,45],"the":[8,85,105,128,142],"QoS":[9],"(Quality":[10],"of":[11,13,26,30,89,92,98,107,131,139,145,161],"Service)":[12],"network.":[14],"However,":[15],"there":[16],"are":[17],"challenges":[18],"in":[19,36,141],"performing":[20],"network":[21,49,55,93,99,132,147,175],"identification,":[23,51],"including":[24],"underutilization":[25],"information":[27,56,91],"and":[28,70,87,170],"weak":[29],"interpretability.":[31],"To":[32],"address":[33],"these":[34,74],"issues,":[35],"this":[37],"paper,":[38],"we":[39,77,114],"propose":[40],"an":[41,159],"Explainable":[42],"framework":[43,155],"based":[44],"Multi-Domain":[46],"features":[47,121],"for":[48,174],"named":[52],"ExpMD.":[53],"The":[54,149],"is":[57],"divided":[58],"into":[59],"four":[60,79,110],"feature":[61,75,124,187],"domains:":[62],"metadata":[63],"domain,":[64,67,69],"byte-distribution":[65],"(BD)":[66],"textual":[68],"temporal":[71],"domain.":[72],"On":[73],"domains,":[76,125,188],"construct":[78],"models":[81,108],"independently,":[82],"thereby":[83],"achieving":[84],"extraction":[86],"utilization":[88],"multi-domain":[90],"flows.":[94,176],"Subsequently,":[95],"efficient":[96],"can":[101],"be":[102],"achieved":[103],"through":[104],"ensemble":[106],"from":[109],"domains.":[111],"In":[112],"addition,":[113],"employ":[115],"post-hoc":[116],"explainable":[117],"approaches":[118],"to":[119],"attribute":[120],"across":[122],"multiple":[123],"thus":[126],"mitigating":[127],"black-box":[129],"issue":[130],"identification.":[134],"We":[135],"run":[136],"set":[138],"experiments":[140],"tasks":[144],"application":[146],"traffic.":[148],"extensive":[150],"evaluation":[151],"demonstrates":[152],"that":[153],"our":[154],"not":[156],"only":[157],"achieves":[158],"accuracy":[160],"97.":[162],"5%,":[163],"but":[164],"also":[165],"generates":[166],"high-fidelity,":[167],"sparse,":[168],"complete,":[169],"stable":[171],"explanation":[172],"results":[173],"Furthermore,":[177],"each":[178],"sub-model":[179],"performed":[180],"at":[181],"state-of-the-art":[183],"effect":[184],"within":[185],"their":[186],"respectively.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}