{"id":"https://openalex.org/W4312990581","doi":"https://doi.org/10.1109/dsc55868.2022.00030","title":"TFHM:A Traffic Feature Hiding Scheme Based on Generative Adversarial Networks","display_name":"TFHM:A Traffic Feature Hiding Scheme Based on Generative Adversarial Networks","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4312990581","doi":"https://doi.org/10.1109/dsc55868.2022.00030"},"language":"en","primary_location":{"id":"doi:10.1109/dsc55868.2022.00030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsc55868.2022.00030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th IEEE International Conference on Data Science in Cyberspace (DSC)","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/A5070637617","display_name":"Yaya Huang","orcid":"https://orcid.org/0009-0000-9771-6942"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaya Huang","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology Guangzhou University,Guangzhou,China,510006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology Guangzhou University,Guangzhou,China,510006","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066123167","display_name":"Yixing Chen","orcid":"https://orcid.org/0000-0002-2077-0614"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixing Chen","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology Guangzhou University,Guangzhou,China,510006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology Guangzhou University,Guangzhou,China,510006","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101681775","display_name":"Yuqiang Zhang","orcid":"https://orcid.org/0000-0001-8842-4905"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqiang Zhang","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology Guangzhou University,Guangzhou,China,510006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology Guangzhou University,Guangzhou,China,510006","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016398227","display_name":"Jincai Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jincai Zou","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology Guangzhou University,Guangzhou,China,510006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology Guangzhou University,Guangzhou,China,510006","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034156788","display_name":"Zhihan Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihan Tan","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology Guangzhou University,Guangzhou,China,510006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology Guangzhou University,Guangzhou,China,510006","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044196870","display_name":"Ning Hu","orcid":"https://orcid.org/0000-0002-8355-0969"},"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":"Ning Hu","raw_affiliation_strings":["Peng Cheng Laboratory,Shenzhen,China,518000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory,Shenzhen,China,518000","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1387,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57148519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"175","last_page":"182"},"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":0.9980000257492065,"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":0.9951000213623047,"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":0.7705507874488831},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.7121133208274841},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.578930139541626},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5456297397613525},{"id":"https://openalex.org/keywords/traffic-analysis","display_name":"Traffic analysis","score":0.5249388217926025},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5084330439567566},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.49935173988342285},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4699547290802002},{"id":"https://openalex.org/keywords/information-hiding","display_name":"Information hiding","score":0.4596068859100342},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4417640268802643},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.41425076127052307},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.414200097322464},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.385926216840744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33555132150650024},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.1053454577922821},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10523441433906555},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08312848210334778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7705507874488831},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.7121133208274841},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.578930139541626},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5456297397613525},{"id":"https://openalex.org/C2781317605","wikidata":"https://www.wikidata.org/wiki/Q7832483","display_name":"Traffic analysis","level":2,"score":0.5249388217926025},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5084330439567566},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.49935173988342285},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4699547290802002},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.4596068859100342},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4417640268802643},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.41425076127052307},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.414200097322464},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.385926216840744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33555132150650024},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.1053454577922821},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10523441433906555},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08312848210334778},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsc55868.2022.00030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsc55868.2022.00030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th IEEE International Conference on Data Science in Cyberspace (DSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7099999785423279,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1608222975","https://openalex.org/W2171634548","https://openalex.org/W2396066572","https://openalex.org/W2752949934","https://openalex.org/W2772317693","https://openalex.org/W2780618540","https://openalex.org/W2888125116","https://openalex.org/W2897924986","https://openalex.org/W2901363975","https://openalex.org/W2919493784","https://openalex.org/W2946905885","https://openalex.org/W2969841870","https://openalex.org/W2971076825","https://openalex.org/W2997357271","https://openalex.org/W3023040279","https://openalex.org/W3036568251","https://openalex.org/W3039412500","https://openalex.org/W3039661554","https://openalex.org/W3094227091","https://openalex.org/W3104102522","https://openalex.org/W3107803931","https://openalex.org/W3145680685","https://openalex.org/W3176096468","https://openalex.org/W6636391385","https://openalex.org/W6712428216","https://openalex.org/W6744119509"],"related_works":["https://openalex.org/W3127228990","https://openalex.org/W2301878849","https://openalex.org/W2054082132","https://openalex.org/W3101977789","https://openalex.org/W2184946989","https://openalex.org/W2179036394","https://openalex.org/W4206905835","https://openalex.org/W1568303756","https://openalex.org/W2613715541","https://openalex.org/W3166874438"],"abstract_inverted_index":{"The":[0,26,39],"traffic":[1,22,32,63,72,88,112,142],"encrypted":[2,21,31,71,141],"by":[3,11,153],"HTTPS":[4],"on":[5,76,146],"the":[6,18,44,70,81,130,133,138],"Internet":[7],"is":[8,33],"increasing":[9],"year":[10],"year.":[12],"In":[13],"most":[14],"countries":[15],"and":[16,47,57,119,124,151],"regions,":[17],"proportion":[19],"of":[20,36,140],"has":[23],"exceeded":[24],"90%.":[25],"findings":[27],"suggest":[28],"that":[29,105],"even":[30],"at":[34],"risk":[35],"privacy":[37],"leakage.":[38],"anonymous":[40,82,117,126],"communication":[41,45],"network":[42,99],"hides":[43],"relationship":[46],"transmission":[48],"path":[49],"between":[50],"users":[51],"through":[52],"technologies":[53],"such":[54],"as":[55],"mixnet":[56],"onion":[58],"routing,":[59],"but":[60],"lacks":[61],"a":[62,87,96],"feature":[64,89,113],"hiding":[65,90,114],"mechanism.":[66],"Attackers":[67],"can":[68,136],"use":[69],"analysis":[73,143],"algorithm":[74],"based":[75,145],"machine":[77],"learning":[78],"to":[79,101,129],"de-anonymize":[80],"network.":[83],"This":[84],"paper":[85],"proposes":[86],"scheme,":[91],"called":[92],"TFHM,":[93],"which":[94],"uses":[95],"generative":[97],"adversarial":[98,103],"(GAN)":[100],"generate":[102],"samples":[104],"are":[106],"indistinguishable":[107],"from":[108,122],"target":[109],"traffic,":[110],"providing":[111],"capabilities":[115],"for":[116],"networks":[118],"preventing":[120],"listeners":[121],"classifying":[123],"analyzing":[125],"traffic.":[127],"According":[128],"experimental":[131],"results,":[132],"TFHM":[134],"method":[135],"reduce":[137],"accuracy":[139],"methods":[144],"Naive":[147],"Bayes,":[148],"Decision":[149],"Tree,":[150],"SVM":[152],"30%.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
