{"id":"https://openalex.org/W2766017742","doi":"https://doi.org/10.1109/tifs.2017.2768018","title":"Network Traffic Fingerprinting Based on Approximated Kernel Two-Sample Test","display_name":"Network Traffic Fingerprinting Based on Approximated Kernel Two-Sample Test","publication_year":2017,"publication_date":"2017-10-30","ids":{"openalex":"https://openalex.org/W2766017742","doi":"https://doi.org/10.1109/tifs.2017.2768018","mag":"2766017742"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2017.2768018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2017.2768018","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-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/A5103176235","display_name":"Jan Kohout","orcid":"https://orcid.org/0000-0002-3410-3898"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]},{"id":"https://openalex.org/I135428043","display_name":"Cisco Systems (United States)","ror":"https://ror.org/03yt1ez60","country_code":"US","type":"company","lineage":["https://openalex.org/I135428043"]}],"countries":["CZ","US"],"is_corresponding":true,"raw_author_name":"Jan Kohout","raw_affiliation_strings":["Cisco Systems, Inc., San Jose, CA, USA","Department of Computer Science, Czech Technical University in Prague, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Cisco Systems, Inc., San Jose, CA, USA","institution_ids":["https://openalex.org/I135428043"]},{"raw_affiliation_string":"Department of Computer Science, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059337672","display_name":"Tom\u00e1\u0161 Pevn\u00fd","orcid":"https://orcid.org/0000-0002-5768-9713"},"institutions":[{"id":"https://openalex.org/I135428043","display_name":"Cisco Systems (United States)","ror":"https://ror.org/03yt1ez60","country_code":"US","type":"company","lineage":["https://openalex.org/I135428043"]},{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ","US"],"is_corresponding":false,"raw_author_name":"Tomas Pevny","raw_affiliation_strings":["Cisco Systems, Inc., San Jose, CA, USA","Department of Computer Science, Czech Technical University in Prague, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Cisco Systems, Inc., San Jose, CA, USA","institution_ids":["https://openalex.org/I135428043"]},{"raw_affiliation_string":"Department of Computer Science, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103176235"],"corresponding_institution_ids":["https://openalex.org/I135428043","https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":1.2432,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.82926296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"13","issue":"3","first_page":"788","last_page":"801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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/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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7784097194671631},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.665591835975647},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5599133372306824},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.49624520540237427},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.49218884110450745},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4800085425376892},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4799095094203949},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4691518545150757},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.46153056621551514},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44239747524261475},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3781437277793884},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22030526399612427},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20355641841888428}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7784097194671631},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.665591835975647},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5599133372306824},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.49624520540237427},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.49218884110450745},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4800085425376892},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4799095094203949},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4691518545150757},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.46153056621551514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44239747524261475},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3781437277793884},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22030526399612427},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20355641841888428},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2017.2768018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2017.2768018","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G693386986","display_name":null,"funder_award_id":"15-08916S","funder_id":"https://openalex.org/F4320321006","funder_display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky"}],"funders":[{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W6983256","https://openalex.org/W45435623","https://openalex.org/W65738273","https://openalex.org/W148449472","https://openalex.org/W195533127","https://openalex.org/W649276621","https://openalex.org/W1480376833","https://openalex.org/W1521553548","https://openalex.org/W1731081199","https://openalex.org/W1775772884","https://openalex.org/W1779735989","https://openalex.org/W1907846276","https://openalex.org/W1931345871","https://openalex.org/W1974131786","https://openalex.org/W1986280275","https://openalex.org/W1987971958","https://openalex.org/W2000756828","https://openalex.org/W2008060027","https://openalex.org/W2022816339","https://openalex.org/W2041855183","https://openalex.org/W2075104607","https://openalex.org/W2089501902","https://openalex.org/W2096674597","https://openalex.org/W2099218848","https://openalex.org/W2100600008","https://openalex.org/W2100644924","https://openalex.org/W2103529310","https://openalex.org/W2106053110","https://openalex.org/W2107552638","https://openalex.org/W2108217512","https://openalex.org/W2114996745","https://openalex.org/W2119631914","https://openalex.org/W2122226347","https://openalex.org/W2124331852","https://openalex.org/W2131681506","https://openalex.org/W2134632326","https://openalex.org/W2138615112","https://openalex.org/W2138798794","https://openalex.org/W2157349061","https://openalex.org/W2157949690","https://openalex.org/W2212660284","https://openalex.org/W2537422620","https://openalex.org/W2540850297","https://openalex.org/W2753254251","https://openalex.org/W2950476412","https://openalex.org/W2991755195","https://openalex.org/W3003860783","https://openalex.org/W3099768174","https://openalex.org/W4236506014","https://openalex.org/W4255469293","https://openalex.org/W6601853496","https://openalex.org/W6607976765","https://openalex.org/W6638021444","https://openalex.org/W6675134017","https://openalex.org/W6675751002","https://openalex.org/W6675803726","https://openalex.org/W6678421882","https://openalex.org/W6679864962","https://openalex.org/W6680970901","https://openalex.org/W6688325169","https://openalex.org/W6728433305","https://openalex.org/W6906355099"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2396122647","https://openalex.org/W2136161268","https://openalex.org/W2793058541","https://openalex.org/W3165943254","https://openalex.org/W3118638206","https://openalex.org/W1983629434","https://openalex.org/W4324271173","https://openalex.org/W4288910996"],"abstract_inverted_index":{"Many":[0],"applications":[1],"and":[2,97],"communication":[3,7,43],"protocols":[4],"exhibit":[5],"unique":[6],"patterns":[8,27],"that":[9,30],"can":[10,32,84],"be":[11,33,85],"exploited":[12],"to":[13,24,61],"identify":[14],"them":[15],"in":[16,35,73,89],"network":[17],"traffic.":[18],"This":[19,57],"paper":[20],"proposes":[21],"a":[22,45,50,66],"method":[23,40],"represent":[25],"these":[26],"compactly,":[28],"such":[29],"they":[31],"used":[34,72,88],"different":[36],"analytical":[37],"tasks.":[38],"The":[39,80],"treats":[41],"each":[42],"as":[44],"set":[46],"of":[47,49,94,101,105],"observations":[48],"random":[51],"variable":[52],"with":[53],"unknown":[54],"probability":[55,70],"distribution.":[56],"view":[58],"allows":[59],"us":[60],"derive":[62],"the":[63,102],"representation":[64,81],"from":[65],"distance":[67],"between":[68],"two":[69],"distributions":[71],"maximum":[74],"mean":[75],"discrepancy\u2014a":[76],"non-parametric":[77],"kernel":[78],"test.":[79],"(and":[82],"distance)":[83],"then":[86],"easily":[87],"various":[90],"algorithms":[91],"for":[92],"identification":[93],"communicating":[95],"application":[96],"data":[98],"analysis,":[99],"independently":[100],"specific":[103],"type":[104],"input":[106],"data.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}