{"id":"https://openalex.org/W3191031421","doi":"https://doi.org/10.1109/icc42927.2021.9500363","title":"Simplifying Data Traffic Classification with Byte Importance Distillation","display_name":"Simplifying Data Traffic Classification with Byte Importance Distillation","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3191031421","doi":"https://doi.org/10.1109/icc42927.2021.9500363","mag":"3191031421"},"language":"en","primary_location":{"id":"doi:10.1109/icc42927.2021.9500363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","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/A5029012510","display_name":"Fuhao Li","orcid":"https://orcid.org/0000-0001-8076-2221"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fuhao Li","raw_affiliation_strings":["University of Dayton,Department of Electrical and Computer Engineering,Dayton,OH,USA","Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA"],"affiliations":[{"raw_affiliation_string":"University of Dayton,Department of Electrical and Computer Engineering,Dayton,OH,USA","institution_ids":["https://openalex.org/I127591826"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081204675","display_name":"Feng Ye","orcid":"https://orcid.org/0000-0002-2436-2300"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Ye","raw_affiliation_strings":["University of Dayton,Department of Electrical and Computer Engineering,Dayton,OH,USA","Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA"],"affiliations":[{"raw_affiliation_string":"University of Dayton,Department of Electrical and Computer Engineering,Dayton,OH,USA","institution_ids":["https://openalex.org/I127591826"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA","institution_ids":["https://openalex.org/I127591826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029012510"],"corresponding_institution_ids":["https://openalex.org/I127591826"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5417264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"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":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":0.9994000196456909,"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":0.9771000146865845,"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/byte","display_name":"Byte","score":0.8653873205184937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7993713617324829},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6995242834091187},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5240650177001953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47069740295410156},{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.44852298498153687},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.4173886179924011},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3933078944683075},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14925387501716614},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.08941367268562317}],"concepts":[{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.8653873205184937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7993713617324829},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6995242834091187},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5240650177001953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47069740295410156},{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.44852298498153687},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.4173886179924011},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3933078944683075},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14925387501716614},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.08941367268562317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc42927.2021.9500363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","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":20,"referenced_works":["https://openalex.org/W1667249920","https://openalex.org/W1982921017","https://openalex.org/W2343828539","https://openalex.org/W2751904527","https://openalex.org/W2783741806","https://openalex.org/W2884585870","https://openalex.org/W2892460540","https://openalex.org/W2908297277","https://openalex.org/W2910171846","https://openalex.org/W2917586021","https://openalex.org/W2924962435","https://openalex.org/W2938168493","https://openalex.org/W2963516518","https://openalex.org/W3009698636","https://openalex.org/W3011551737","https://openalex.org/W3018963868","https://openalex.org/W3045970630","https://openalex.org/W3047014424","https://openalex.org/W4206009638","https://openalex.org/W6758366860"],"related_works":["https://openalex.org/W1574986946","https://openalex.org/W3160314615","https://openalex.org/W2152125195","https://openalex.org/W2012465643","https://openalex.org/W2018792058","https://openalex.org/W4302160995","https://openalex.org/W2773751105","https://openalex.org/W4286571681","https://openalex.org/W4293863212","https://openalex.org/W2050261031"],"abstract_inverted_index":{"Network":[0],"traffic":[1,90],"classification":[2,91,154,212,242],"(NTC)":[3],"plays":[4],"an":[5],"important":[6,135],"role":[7],"in":[8,30,122],"network":[9,66],"measurement":[10],"and":[11,34,164,194,234],"management.":[12],"Recently,":[13],"Artificial":[14],"Intelligence":[15],"(AI)":[16],"based":[17,105,163,196],"NTC":[18,41,59,159,197],"has":[19],"been":[20],"widely":[21],"considered":[22],"a":[23,74,97,127,145],"good":[24],"candidate":[25],"because":[26],"of":[27,58,126,244],"its":[28],"accuracy":[29,243],"processing":[31],"both":[32],"clear":[33],"encrypted":[35],"data":[36,108,138,182],"traffic.":[37],"However,":[38],"those":[39],"AI-based":[40,158,246],"schemes":[42],"usually":[43],"apply":[44],"full-length":[45],"packets,":[46],"e.g.,":[47],"through":[48,224],"padding.":[49],"Such":[50],"lengthy":[51],"inputs":[52],"can":[53,62,140,189],"lead":[54],"to":[55,65,79,89,144,152,169,201,220],"complex":[56],"designs":[57],"models,":[60,160],"which":[61],"be":[63,141],"challenging":[64],"devices.":[67],"To":[68],"tackle":[69],"this":[70],"issue,":[71],"we":[72],"propose":[73],"byte":[75,111,173],"importance":[76,112,174],"distillation":[77,175],"scheme":[78,188],"extract":[80],"the":[81,87,94,117,123,134,150,153,171,181,186,192,206,221,245],"packet":[82],"payload":[83],"bytes":[84,147],"that":[85,148,180,217],"contribute":[86,149],"most":[88,151],"results.":[92],"In":[93,214],"proposed":[95,172,187],"scheme,":[96],"Bayesian":[98],"Multilayer":[99],"Perception":[100],"(BMLP)":[101],"is":[102,113],"first":[103,124],"initialized":[104],"on":[106,205],"full-size":[107],"packets.":[109],"The":[110,177],"then":[114],"defined":[115],"as":[116,230],"corresponding":[118],"mean":[119],"absolute":[120],"weights":[121],"layer":[125],"BMLP":[128],"model":[129],"with":[130],"K-integration.":[131],"By":[132],"choosing":[133],"bytes,":[136],"input":[137],"packets":[139,183,216],"reduced":[142,219],"dramatically":[143],"few":[146],"output.":[155],"Two":[156],"popular":[157],"i.e.,":[161],"MLP":[162,193],"CNN":[165,195],"based,":[166],"are":[167,218],"implemented":[168],"evaluate":[170],"scheme.":[176],"results":[178],"demonstrate":[179],"optimized":[184],"from":[185],"speed":[190],"up":[191],"models":[198],"by":[199],"one":[200],"two":[202],"magnitudes,":[203],"depending":[204],"implementation":[207],"platforms,":[208],"while":[209],"maintaining":[210],"high":[211,241],"accuracy.":[213],"comparison,":[215],"same":[222],"size":[223],"traditional":[225],"dimension":[226],"reduction":[227],"approaches":[228],"such":[229],"principal":[231],"component":[232],"analysis":[233],"convolutional":[235],"block":[236],"attention":[237],"module":[238],"cannot":[239],"maintain":[240],"NTCs.":[247]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
