{"id":"https://openalex.org/W4407129833","doi":"https://doi.org/10.1109/icnp61940.2024.10858569","title":"Netmamba: Efficient Network Traffic Classification Via Pre-Training Unidirectional Mamba","display_name":"Netmamba: Efficient Network Traffic Classification Via Pre-Training Unidirectional Mamba","publication_year":2024,"publication_date":"2024-10-28","ids":{"openalex":"https://openalex.org/W4407129833","doi":"https://doi.org/10.1109/icnp61940.2024.10858569"},"language":"en","primary_location":{"id":"doi:10.1109/icnp61940.2024.10858569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp61940.2024.10858569","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/A5023163420","display_name":"Tongze Wang","orcid":"https://orcid.org/0009-0007-0052-8402"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tongze Wang","raw_affiliation_strings":["Institute for Network Sciences and Cyberspace, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Institute for Network Sciences and Cyberspace, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101977658","display_name":"Xiaohui Xie","orcid":"https://orcid.org/0000-0001-9413-4461"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Xie","raw_affiliation_strings":["Tsinghua University,Department of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Computer Science and Technology","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078217759","display_name":"Wenduo Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenduo Wang","raw_affiliation_strings":["Tsinghua University,Department of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Computer Science and Technology","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067041421","display_name":"Chuyi Wang","orcid":"https://orcid.org/0009-0002-8296-3785"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuyi Wang","raw_affiliation_strings":["Tsinghua University,Department of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Computer Science and Technology","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101011285","display_name":"Youjian Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youjian Zhao","raw_affiliation_strings":["Tsinghua University,Department of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Computer Science and Technology","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101540579","display_name":"Yong Cui","orcid":"https://orcid.org/0000-0001-6954-3220"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Cui","raw_affiliation_strings":["Tsinghua University,Department of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Computer Science and Technology","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5023163420"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":19.6893,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.995119,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"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":0.9955000281333923,"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":0.9955000281333923,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.96670001745224,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9041000008583069,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6544952392578125},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.521021842956543},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.45506876707077026},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10523241758346558}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6544952392578125},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.521021842956543},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.45506876707077026},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10523241758346558},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnp61940.2024.10858569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp61940.2024.10858569","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1495633614","https://openalex.org/W2343828539","https://openalex.org/W2591712613","https://openalex.org/W2606697812","https://openalex.org/W2919493784","https://openalex.org/W2963403784","https://openalex.org/W2963516518","https://openalex.org/W3007562398","https://openalex.org/W3114936184","https://openalex.org/W3173170122","https://openalex.org/W4205603472","https://openalex.org/W4224315052","https://openalex.org/W4290874972","https://openalex.org/W4293093536","https://openalex.org/W4313156423","https://openalex.org/W4367047070","https://openalex.org/W4382239858","https://openalex.org/W4387298163","https://openalex.org/W4403977303","https://openalex.org/W6693724512","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6779709467","https://openalex.org/W6791451606","https://openalex.org/W6852078105","https://openalex.org/W6859298233","https://openalex.org/W6860809164","https://openalex.org/W6861342692","https://openalex.org/W6861387779","https://openalex.org/W6861742303","https://openalex.org/W6862172060","https://openalex.org/W6862258061","https://openalex.org/W6862565613","https://openalex.org/W6862651651","https://openalex.org/W6863679278"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W230091440","https://openalex.org/W2390279801","https://openalex.org/W2233261550","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2810751659"],"abstract_inverted_index":{"Network":[0],"traffic":[1,67,96,126,135],"classification":[2,150,155,209],"is":[3,222],"a":[4,94,101,125],"crucial":[5],"research":[6],"area":[7],"aiming":[8],"to":[9,52,117,129,158,191,226],"enhance":[10],"service":[11],"quality,":[12],"streamline":[13],"network":[14],"management,":[15],"and":[16,31,104],"bolster":[17],"cybersecurity.":[18],"To":[19,79,215],"address":[20,80,118],"the":[21,53,57,110,115,216,223,228],"growing":[22],"complexity":[23,55],"of":[24,56,70,114,166,218],"transmission":[25],"encryption":[26],"techniques,":[27],"various":[28],"machine":[29],"learning":[30,33,205],"deep":[32],"methods":[34],"have":[35],"been":[36],"proposed.":[37],"However,":[38],"existing":[39],"approaches":[40],"face":[41],"two":[42],"main":[43,149],"challenges.":[44],"Firstly,":[45],"they":[46,63],"struggle":[47],"with":[48,93,211],"model":[49,91,225],"inefficiency":[50],"due":[51],"quadratic":[54],"widely":[58],"used":[59],"Transformer":[60],"architecture.":[61],"Secondly,":[62],"suffer":[64],"from":[65,133],"inadequate":[66],"representation":[68,97,127],"because":[69],"discarding":[71],"important":[72],"byte":[73],"information":[74,132],"while":[75,137,194],"retaining":[76],"unwanted":[77],"biases.":[78],"these":[81],"challenges,":[82],"we":[83,123],"propose":[84],"NetMamba,":[85],"an":[86,163],"efficient":[87],"linear-time":[88],"state":[89],"space":[90],"equipped":[92],"comprehensive":[95],"scheme.":[98],"We":[99],"adopt":[100],"specially":[102],"selected":[103],"improved":[105],"unidirectional":[106],"Mamba":[107,229],"architecture":[108,230],"for":[109,231],"networking":[111],"field,":[112],"instead":[113],"Transformer,":[116],"efficiency":[119],"issues.":[120],"In":[121],"addition,":[122],"design":[124],"scheme":[128],"extract":[130],"valid":[131],"massive":[134],"data":[136],"removing":[138],"biased":[139],"information.":[140],"Evaluation":[141],"experiments":[142],"on":[143],"six":[144],"public":[145],"datasets":[146],"encompassing":[147],"three":[148],"tasks":[151],"showcase":[152],"NetMamba's":[153],"superior":[154,203],"performance":[156,210],"compared":[157],"state-of-the-art":[159],"baselines.":[160],"It":[161],"achieves":[162],"accuracy":[164],"rate":[165],"nearly":[167],"<tex":[168,174],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[169,175],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$99":[170,176],"\\%$</tex>":[171],"(some":[172],"over":[173],"\\%$</tex>)":[177],"in":[178],"all":[179],"tasks.":[180],"Additionally,":[181],"NetMamba":[182,201,221],"demonstrates":[183],"excellent":[184],"efficiency,":[185],"improving":[186],"inference":[187],"speed":[188],"by":[189],"up":[190],"60":[192],"times":[193],"maintaining":[195],"comparably":[196],"low":[197],"memory":[198],"usage.":[199],"Furthermore,":[200],"exhibits":[202],"few-shot":[204],"abilities,":[206],"achieving":[207],"better":[208],"fewer":[212],"labeled":[213],"data.":[214],"best":[217],"our":[219],"knowledge,":[220],"first":[224],"tailor":[227],"networking.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":51}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}