{"id":"https://openalex.org/W4387869540","doi":"https://doi.org/10.1109/secon58729.2023.10287511","title":"BehavSniffer: Sniff User Behaviors from the Encrypted Traffic by Traffic Burst Graphs","display_name":"BehavSniffer: Sniff User Behaviors from the Encrypted Traffic by Traffic Burst Graphs","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4387869540","doi":"https://doi.org/10.1109/secon58729.2023.10287511"},"language":"en","primary_location":{"id":"doi:10.1109/secon58729.2023.10287511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/secon58729.2023.10287511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","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/A5101258743","display_name":"Tiru Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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":"Tiru Wu","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,China","Shenzhen International Graduate School, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101600503","display_name":"Xi Xiao","orcid":"https://orcid.org/0000-0003-1521-9542"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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":"Xi Xiao","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,China","Shenzhen International Graduate School, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100734609","display_name":"Qing Li","orcid":"https://orcid.org/0000-0002-6071-473X"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["Peng Cheng Laboratory,China","Peng Cheng Laboratory, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory,China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Peng Cheng Laboratory, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004834139","display_name":"Qixu Liu","orcid":"https://orcid.org/0000-0003-0895-9585"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qixu Liu","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences,China","Institute of Information Engineering, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085450781","display_name":"Guangwu Hu","orcid":"https://orcid.org/0000-0003-3947-9998"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangwu Hu","raw_affiliation_strings":["Shenzhen Institute of Information Technology,China","Shenzhen Institute of Information Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Information Technology,China","institution_ids":["https://openalex.org/I158809036"]},{"raw_affiliation_string":"Shenzhen Institute of Information Technology, China","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400376","display_name":"Xiapu Luo","orcid":"https://orcid.org/0000-0002-9082-3208"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiapu Luo","raw_affiliation_strings":["The Hong Kong Polytechnic University,China","The Hong Kong Polytechnic University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"The Hong Kong Polytechnic University, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101626204","display_name":"Yong Jiang","orcid":"https://orcid.org/0000-0002-4260-1395"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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 Jiang","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,China","Shenzhen International Graduate School, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3053,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84543564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"456","last_page":"464"},"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":0.9990000128746033,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.80470871925354},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.6686831712722778},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.5678085684776306},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5503831505775452},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46052417159080505},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.43935948610305786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4286717474460602},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3926451802253723},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.29432666301727295},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.2170795500278473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.80470871925354},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.6686831712722778},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.5678085684776306},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5503831505775452},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46052417159080505},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.43935948610305786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4286717474460602},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3926451802253723},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.29432666301727295},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.2170795500278473},{"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/secon58729.2023.10287511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/secon58729.2023.10287511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320337986","display_name":"Tsinghua Shenzhen International Graduate School","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W47191821","https://openalex.org/W2010716466","https://openalex.org/W2094245741","https://openalex.org/W2129141174","https://openalex.org/W2135573056","https://openalex.org/W2140095548","https://openalex.org/W2190207511","https://openalex.org/W2295321789","https://openalex.org/W2343004508","https://openalex.org/W2343828539","https://openalex.org/W2604662567","https://openalex.org/W2744198018","https://openalex.org/W2792969299","https://openalex.org/W2809170251","https://openalex.org/W2811111226","https://openalex.org/W2892151818","https://openalex.org/W2904713997","https://openalex.org/W2946081518","https://openalex.org/W2959683122","https://openalex.org/W2963184645","https://openalex.org/W2972244381","https://openalex.org/W2979687053","https://openalex.org/W2996911751","https://openalex.org/W3007265242","https://openalex.org/W3007562398","https://openalex.org/W3009287944","https://openalex.org/W3022070558","https://openalex.org/W3048520001","https://openalex.org/W3104793015","https://openalex.org/W3120227884","https://openalex.org/W3122934853","https://openalex.org/W3160298661","https://openalex.org/W3185782854","https://openalex.org/W3206444595","https://openalex.org/W3207575348","https://openalex.org/W4224315052","https://openalex.org/W4226055875","https://openalex.org/W4243753569","https://openalex.org/W4254258153","https://openalex.org/W4281623355","https://openalex.org/W4285292284","https://openalex.org/W4294065829","https://openalex.org/W6693724512","https://openalex.org/W6788879197","https://openalex.org/W6795009471"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2368049389","https://openalex.org/W2170801710","https://openalex.org/W2384861574","https://openalex.org/W2952704802","https://openalex.org/W2179036394","https://openalex.org/W4206905835","https://openalex.org/W2613715541"],"abstract_inverted_index":{"With":[0],"the":[1,10,38,53,62,122],"increasing":[2],"popularity":[3],"of":[4,13,29,55,116,148,152],"encryption":[5],"pro-tocols":[6],"in":[7,46],"application":[8],"and":[9,33,84,95,108,150],"rapid":[11],"development":[12],"network":[14],"applications,":[15],"traffic":[16,47,114],"classification":[17,31,35,48],"has":[18],"become":[19],"a":[20],"major":[21],"challenge":[22],"for":[23,75],"mobile":[24],"service":[25],"providers.":[26],"The":[27,65],"failure":[28],"traditional":[30],"methods":[32],"low":[34],"accuracy":[36,151],"are":[37],"problems":[39],"that":[40,141],"need":[41],"to":[42,57,69],"be":[43],"solved":[44],"urgently":[45],"research.":[49],"Therefore,":[50],"we":[51,120],"propose":[52,70,121],"scheme":[54],"BehavSniffer":[56,103,142],"sniff":[58],"user":[59,117,123],"behaviors":[60],"from":[61,79,113,128],"encrypted":[63],"traffic.":[64],"core":[66],"idea":[67],"is":[68],"Traffic":[71],"Burst":[72],"Graph":[73],"(TBG)":[74],"extracting":[76],"multidimensional":[77],"features":[78,112],"bidirectional":[80],"interactive":[81],"data":[82],"flows,":[83],"do":[85],"feature":[86],"fusion":[87],"based":[88],"on":[89],"Kernel":[90],"Principal":[91],"Component":[92],"Analysis":[93],"(KPCA)":[94],"Deep":[96],"Neural":[97],"Network":[98],"(DNN).":[99],"In":[100],"this":[101],"way,":[102],"can":[104],"learn":[105],"both":[106],"high":[107],"low-order":[109],"combined":[110],"structural":[111],"patterns":[115],"behavior.":[118],"Meanwhile,":[119],"behavior":[124],"dataset,":[125],"named":[126],"WWT,":[127],"three":[129],"widely":[130],"used":[131],"social":[132],"media":[133],"applications":[134],"(WeChat,":[135],"WhatsApp,":[136],"Telegram).":[137],"Experimental":[138],"results":[139],"show":[140],"outperforms":[143],"stateof-the-art":[144],"methods,":[145],"with":[146],"AUC":[147],"0.987":[149],"99.8%,":[153],"respectively.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
