{"id":"https://openalex.org/W4413358482","doi":"https://doi.org/10.1145/3748496.3748992","title":"Traffic Analysis and Recognition in Data Insufficient Scenarios","display_name":"Traffic Analysis and Recognition in Data Insufficient Scenarios","publication_year":2025,"publication_date":"2025-08-20","ids":{"openalex":"https://openalex.org/W4413358482","doi":"https://doi.org/10.1145/3748496.3748992"},"language":"en","primary_location":{"id":"doi:10.1145/3748496.3748992","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748496.3748992","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Workshop on Next-Generation Network Observability","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3748496.3748992","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055998087","display_name":"Sijiang Huang","orcid":"https://orcid.org/0000-0001-5732-7459"},"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":"Sijiang Huang","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":"https://orcid.org/0000-0001-5732-7459","affiliations":[{"raw_affiliation_string":"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"],"raw_orcid":"https://orcid.org/0000-0001-9413-4461","affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Rui Xu","orcid":"https://orcid.org/0009-0003-0478-7787"},"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":"Rui Xu","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":"https://orcid.org/0009-0003-0478-7787","affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cong Li","orcid":"https://orcid.org/0009-0009-9036-9859"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cong Li","raw_affiliation_strings":["ICBC"],"raw_orcid":"https://orcid.org/0009-0009-9036-9859","affiliations":[{"raw_affiliation_string":"ICBC","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yong Zhang","orcid":"https://orcid.org/0009-0001-4557-3916"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["ICBC"],"raw_orcid":"https://orcid.org/0009-0001-4557-3916","affiliations":[{"raw_affiliation_string":"ICBC","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001919662","display_name":"Mowei Wang","orcid":"https://orcid.org/0000-0001-9085-2247"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mowei Wang","raw_affiliation_strings":["Huawei"],"raw_orcid":"https://orcid.org/0000-0001-9085-2247","affiliations":[{"raw_affiliation_string":"Huawei","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022203596","display_name":"Liang Zhang","orcid":"https://orcid.org/0000-0002-2035-6157"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["Huawei"],"raw_orcid":"https://orcid.org/0000-0002-2035-6157","affiliations":[{"raw_affiliation_string":"Huawei","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091090025","display_name":"Yong Cui","orcid":"https://orcid.org/0000-0002-5171-739X"},"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"],"raw_orcid":"https://orcid.org/0000-0002-5171-739X","affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17360213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"36"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7182907462120056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3805660605430603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7182907462120056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3805660605430603}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3748496.3748992","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748496.3748992","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Workshop on Next-Generation Network Observability","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3748496.3748992","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748496.3748992","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Workshop on Next-Generation Network Observability","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2005494522","https://openalex.org/W2102605133","https://openalex.org/W2111214891","https://openalex.org/W2118978333","https://openalex.org/W2138857742","https://openalex.org/W2148489082","https://openalex.org/W2148913232","https://openalex.org/W2154642048","https://openalex.org/W2162651021","https://openalex.org/W2560100125","https://openalex.org/W2604272474","https://openalex.org/W2750779823","https://openalex.org/W2759910885","https://openalex.org/W2963403784","https://openalex.org/W2963516518","https://openalex.org/W2963704216","https://openalex.org/W2974442408","https://openalex.org/W4224315052","https://openalex.org/W4296229353","https://openalex.org/W4367047070","https://openalex.org/W4382239858","https://openalex.org/W4387298163","https://openalex.org/W4407129833","https://openalex.org/W4411867446"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Network":[0],"traffic":[1,37,49,86],"recognition":[2,50,87],"is":[3,51],"pivotal":[4],"for":[5,91],"modern":[6],"network":[7,70,85],"observability":[8],"and":[9,18,62,114,144],"has":[10],"therefore":[11],"garnered":[12],"considerable":[13],"attention":[14],"from":[15,39,111],"both":[16],"academia":[17],"industry.":[19],"However,":[20],"existing":[21],"solutions":[22],"often":[23],"rely":[24],"on":[25,118],"impractical":[26],"assumptions":[27],"regarding":[28],"data":[29,38,75,126],"abundance,":[30],"which":[31,103,121],"contradict":[32],"our":[33],"comprehensive":[34,132],"analysis":[35],"of":[36,48,65,152],"a":[40,84,138],"live":[41],"financial":[42,141],"production":[43],"environment.":[44],"The":[45],"practical":[46],"landscape":[47],"characterized":[52],"by":[53,171],"numerous":[54],"challenges,":[55,80],"including":[56,137],"stringent":[57],"privacy":[58],"constraints,":[59],"device":[60],"limitations,":[61],"the":[63,150,168],"scarcity":[64],"training":[66,162],"samples":[67,163],"in":[68,73,155,173],"dynamic":[69],"conditions,":[71],"resulting":[72],"severe":[74],"insufficiency.":[76],"To":[77],"address":[78],"these":[79],"we":[81],"propose":[82],"TARDIS,":[83],"framework":[88],"designed":[89],"specifically":[90],"data-insufficient":[92],"scenarios.":[93],"TARDIS":[94,166],"introduces":[95],"two":[96],"novel":[97],"designs:":[98],"Payload-agnostic":[99],"Hierarchical":[100],"Feature":[101],"Extraction,":[102],"exploits":[104],"domain":[105],"knowledge":[106],"to":[107,127],"extract":[108],"discriminative":[109],"features":[110],"limited":[112],"information,":[113],"Semi-supervised":[115],"Pre-training":[116],"based":[117],"Sequence":[119],"Prediction,":[120],"effectively":[122],"utilizes":[123],"hybrid":[124],"historical":[125],"enhance":[128],"model":[129],"adaptation.":[130],"Our":[131],"evaluation":[133],"across":[134],"multiple":[135],"datasets,":[136],"self-collected":[139],"real-world":[140],"dataset":[142],"(FinApps)":[143],"several":[145],"publicly":[146],"available":[147],"ones,":[148],"demonstrates":[149],"effectiveness":[151],"TARDIS.":[153],"Notably,":[154],"challenging":[156],"few-shot":[157],"scenarios":[158],"with":[159],"only":[160],"50":[161],"per":[164],"class,":[165],"outperforms":[167],"best-performing":[169],"baseline":[170],"7.13%":[172],"accuracy.":[174]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
