{"id":"https://openalex.org/W6907096351","doi":"https://doi.org/10.21227/9chd-ng79","title":"DeepCoAST Dataset","display_name":"DeepCoAST Dataset","publication_year":2024,"publication_date":"2024-02-21","ids":{"openalex":"https://openalex.org/W6907096351","doi":"https://doi.org/10.21227/9chd-ng79"},"language":"en","primary_location":{"id":"doi:10.21227/9chd-ng79","is_oa":true,"landing_page_url":"https://doi.org/10.21227/9chd-ng79","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/9chd-ng79","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kim, Goun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132203","display_name":"Ewha Womans University Medical Center","ror":"https://ror.org/03exgrk66","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I138925566","https://openalex.org/I4210132203"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kim, Goun","raw_affiliation_strings":["Ewha Womans University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ewha Womans University","institution_ids":["https://openalex.org/I4210132203"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kwak, HyeonJeong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132203","display_name":"Ewha Womans University Medical Center","ror":"https://ror.org/03exgrk66","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I138925566","https://openalex.org/I4210132203"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwak, HyeonJeong","raw_affiliation_strings":["Ewha Womans University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ewha Womans University","institution_ids":["https://openalex.org/I4210132203"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kim, Sujin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132203","display_name":"Ewha Womans University Medical Center","ror":"https://ror.org/03exgrk66","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I138925566","https://openalex.org/I4210132203"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kim, Sujin","raw_affiliation_strings":["Ewha Womans University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ewha Womans University","institution_ids":["https://openalex.org/I4210132203"]}]},{"author_position":"last","author":{"id":null,"display_name":"Oh, Se Eun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132203","display_name":"Ewha Womans University Medical Center","ror":"https://ror.org/03exgrk66","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I138925566","https://openalex.org/I4210132203"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Oh, Se Eun","raw_affiliation_strings":["Ewha Womans University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ewha Womans University","institution_ids":["https://openalex.org/I4210132203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6518999934196472},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.6237999796867371},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6108999848365784},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5764999985694885},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.444599986076355},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43230000138282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6984000205993652},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6518999934196472},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.6237999796867371},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6108999848365784},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.578000009059906},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5764999985694885},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.444599986076355},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43230000138282776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4203999936580658},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28859999775886536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/9chd-ng79","is_oa":true,"landing_page_url":"https://doi.org/10.21227/9chd-ng79","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/9chd-ng79","is_oa":true,"landing_page_url":"https://doi.org/10.21227/9chd-ng79","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Our":[0,20,130],"DeepCoAST":[1],"dataset":[2,21,111,131],"specifically":[3],"explores":[4],"the":[5,27,46,53,63,74,100,103,107,114],"vulnerabilities":[6],"of":[7,36,76],"various":[8,115],"traffic-splitting":[9,54,138],"Website":[10],"Fingerprinting":[11],"(WF)":[12],"Defenses,":[13],"such":[14,117],"as":[15,118],"TrafficSliver,":[16,72],"HyWF,":[17],"and":[18,79,94,96,109,123],"CoMPS.":[19],"comprises":[22],"defended":[23],"traces":[24,61],"generated":[25],"from":[26,62,102],"BigEnough":[28],"dataset,":[29],"which":[30],"includes":[31],"Tor":[32,77],"cell":[33],"trace":[34],"instances":[35,43],"95":[37],"websites,":[38],"each":[39],"represented":[40],"by":[41,112],"200":[42],"collected":[44],"under":[45],"standard":[47],"browser":[48],"security":[49],"level.":[50],"We":[51,88,105],"simulated":[52],"defenses":[55],"assuming":[56],"there":[57],"are":[58],"two":[59],"split":[60],"vanilla":[64],"trace.":[65],"Additionally,":[66],"we":[67],"set":[68,89],"four":[69],"configurations":[70,98],"for":[71,92,136],"adjusting":[73],"number":[75],"cells":[78],"path":[80],"selection":[81],"probabilities":[82],"to":[83],"simulate":[84],"realistic":[85],"network":[86],"conditions.":[87],"one":[90],"configuration":[91],"HyWF":[93],"CoMPS,":[95],"all":[97],"follow":[99],"parameters":[101],"papers.":[104],"created":[106],"train":[108],"test":[110],"extracting":[113],"features":[116],"Direction,":[119],"Tik-Tok,":[120],"ICD,":[121],"ICDS,":[122],"1-D":[124],"TAM":[125],"mentioned":[126],"in":[127],"our":[128],"paper.":[129],"offers":[132],"a":[133],"comprehensive":[134],"basis":[135],"evaluating":[137],"WF":[139],"defenses.":[140]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}