{"id":"https://openalex.org/W2985248042","doi":"https://doi.org/10.1145/3319535.3363273","title":"Poster","display_name":"Poster","publication_year":2019,"publication_date":"2019-11-06","ids":{"openalex":"https://openalex.org/W2985248042","doi":"https://doi.org/10.1145/3319535.3363273","mag":"2985248042"},"language":"en","primary_location":{"id":"doi:10.1145/3319535.3363273","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3319535.3363273","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3319535.3363273","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3319535.3363273","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101896350","display_name":"Mohammad Saidur Rahman","orcid":"https://orcid.org/0000-0001-6673-171X"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammad Saidur Rahman","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028767402","display_name":"Nate Matthews","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nate Matthews","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035719182","display_name":"Matthew Wright","orcid":"https://orcid.org/0000-0002-8489-6347"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Wright","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101896350"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.867,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81462095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2629","last_page":"2631"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9950000047683716,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8105815649032593},{"id":"https://openalex.org/keywords/anonymity","display_name":"Anonymity","score":0.7733184099197388},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6336994171142578},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5266991257667542},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4981997013092041},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4397938847541809},{"id":"https://openalex.org/keywords/ip-address","display_name":"Ip address","score":0.42706534266471863},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3490014970302582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2626153826713562},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21987226605415344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8105815649032593},{"id":"https://openalex.org/C178005623","wikidata":"https://www.wikidata.org/wiki/Q308859","display_name":"Anonymity","level":2,"score":0.7733184099197388},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6336994171142578},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5266991257667542},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4981997013092041},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4397938847541809},{"id":"https://openalex.org/C2985371682","wikidata":"https://www.wikidata.org/wiki/Q11135","display_name":"Ip address","level":2,"score":0.42706534266471863},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3490014970302582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2626153826713562},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21987226605415344}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3319535.3363273","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3319535.3363273","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3319535.3363273","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3319535.3363273","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3319535.3363273","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3319535.3363273","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G1011909532","display_name":null,"funder_award_id":"1433736","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G365561784","display_name":null,"funder_award_id":"1722743","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G656334581","display_name":null,"funder_award_id":"CNS-1722743, CNS-1816851, and DGE-1433736","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G672859161","display_name":null,"funder_award_id":"1816851","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2985248042.pdf","grobid_xml":"https://content.openalex.org/works/W2985248042.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2272516773","https://openalex.org/W2315694766","https://openalex.org/W2750601856","https://openalex.org/W2783301790","https://openalex.org/W2793336017","https://openalex.org/W2891651011","https://openalex.org/W2902920262","https://openalex.org/W2914630606","https://openalex.org/W2963704216","https://openalex.org/W2964602598","https://openalex.org/W3103367901","https://openalex.org/W4285719527","https://openalex.org/W4386874645"],"related_works":["https://openalex.org/W1966494590","https://openalex.org/W1593132758","https://openalex.org/W2117874351","https://openalex.org/W4206398305","https://openalex.org/W3023934611","https://openalex.org/W2157186778","https://openalex.org/W2082747743","https://openalex.org/W1993929477","https://openalex.org/W2071573776","https://openalex.org/W4312870133"],"abstract_inverted_index":{"Over":[0],"8":[1],"million":[2],"users":[3,150],"rely":[4],"on":[5,42],"the":[6,25,35,75,93,142,146],"Tor":[7,17,76],"network":[8,108,124],"each":[9],"day":[10],"to":[11,21,24,33,53,137,144,159],"protect":[12],"their":[13,45],"anonymity":[14],"online.":[15],"Unfortunately,":[16],"has":[18,66,130],"been":[19],"shown":[20],"be":[22],"vulnerable":[23],"website":[26,36,164],"fingerprinting":[27,165],"attack,":[28],"which":[29],"allows":[30],"an":[31],"attacker":[32],"deduce":[34],"a":[37,103,121],"user":[38],"is":[39],"visiting":[40],"based":[41],"patterns":[43],"in":[44,127],"traffic.":[46],"The":[47],"state-of-the-art":[48],"attacks":[49],"leverage":[50],"deep":[51],"learning":[52],"achieve":[54],"high":[55],"classification":[56,133],"accuracy":[57],"using":[58],"raw":[59],"packet":[60],"information.":[61],"Work":[62],"thus":[63],"far,":[64],"however,":[65],"examined":[67],"only":[68],"one":[69],"type":[70],"of":[71,85,95,107,114],"media":[72],"delivered":[73],"over":[74,99,153],"network:":[77],"web":[78],"pages,":[79],"and":[80],"mostly":[81],"just":[82],"home":[83],"pages":[84],"sites.":[86],"In":[87],"this":[88],"work,":[89],"we":[90],"instead":[91],"investigate":[92],"fingerprintability":[94],"video":[96],"content":[97],"served":[98],"Tor.":[100],"We":[101],"collected":[102],"large":[104],"new":[105],"dataset":[106],"traces":[109],"for":[110],"50":[111],"YouTube":[112],"videos":[113,148],"similar":[115],"length.":[116],"Our":[117],"preliminary":[118],"experiments":[119],"utilizing":[120],"convolutional":[122],"neural":[123],"model":[125],"proposed":[126],"prior":[128],"works":[129],"yielded":[131],"promising":[132],"results,":[134],"achieving":[135],"up":[136],"55%":[138],"accuracy.":[139],"This":[140],"shows":[141],"potential":[143],"unmask":[145],"individual":[147],"that":[149],"are":[151],"viewing":[152],"Tor,":[154],"creating":[155],"further":[156],"privacy":[157],"challenges":[158],"consider":[160],"when":[161],"defending":[162],"against":[163],"attacks.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2019-11-22T00:00:00"}
