{"id":"https://openalex.org/W2144312996","doi":"https://doi.org/10.1145/1542245.1542266","title":"Rapid identification of Skype traffic flows","display_name":"Rapid identification of Skype traffic flows","publication_year":2009,"publication_date":"2009-06-03","ids":{"openalex":"https://openalex.org/W2144312996","doi":"https://doi.org/10.1145/1542245.1542266","mag":"2144312996"},"language":"en","primary_location":{"id":"doi:10.1145/1542245.1542266","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1542245.1542266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th international workshop on Network and operating systems support for digital audio and video","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/A5064991441","display_name":"Philip Branch","orcid":"https://orcid.org/0000-0003-2188-1452"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Philip A. Branch","raw_affiliation_strings":["Swinburne University of Technology, Melbourne, Australia","Swinburne Univ. of Technology, Melbourne, Australia#TAB#"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Australia","institution_ids":["https://openalex.org/I57093077"]},{"raw_affiliation_string":"Swinburne Univ. of Technology, Melbourne, Australia#TAB#","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028346031","display_name":"Amiel A. Heyde","orcid":null},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Amiel Heyde","raw_affiliation_strings":["Swinburne University of Technology, Melbourne, Australia","Swinburne Univ. of Technology, Melbourne, Australia#TAB#"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Australia","institution_ids":["https://openalex.org/I57093077"]},{"raw_affiliation_string":"Swinburne Univ. of Technology, Melbourne, Australia#TAB#","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075839939","display_name":"Grenville Armitage","orcid":"https://orcid.org/0000-0002-2805-6511"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Grenville J. Armitage","raw_affiliation_strings":["Centre for Advanced Internet Architectures, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Advanced Internet Architectures, Melbourne, Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064991441"],"corresponding_institution_ids":["https://openalex.org/I57093077"],"apc_list":null,"apc_paid":null,"fwci":4.9692,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.95293314,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"96"},"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":0.9997000098228455,"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":0.9962000250816345,"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/byte","display_name":"Byte","score":0.8115845918655396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7749902606010437},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.740208089351654},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5979318618774414},{"id":"https://openalex.org/keywords/deep-packet-inspection","display_name":"Deep packet inspection","score":0.5600658655166626},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.5406906008720398},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48138096928596497},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.43557512760162354},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4280606210231781},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37623855471611023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3756422698497772},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35260072350502014},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0953790545463562}],"concepts":[{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.8115845918655396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7749902606010437},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.740208089351654},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5979318618774414},{"id":"https://openalex.org/C204679922","wikidata":"https://www.wikidata.org/wiki/Q734252","display_name":"Deep packet inspection","level":3,"score":0.5600658655166626},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.5406906008720398},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48138096928596497},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.43557512760162354},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4280606210231781},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37623855471611023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3756422698497772},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35260072350502014},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0953790545463562},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1542245.1542266","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1542245.1542266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th international workshop on Network and operating systems support for digital audio and video","raw_type":"proceedings-article"},{"id":"pmh:oai:researchbank.swinburne.edu.au:655ef02f-a265-4b38-8fc4-1f7e2da431b7/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/55166","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"19th International Workshop on Network and Operating Systems Support for Digital Audio and Video (ACM NOSSDAV 2009), Williamsburg, Virginia, United States, 03-05 June 2009, pp. 91-96","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1570448133","https://openalex.org/W1741945172","https://openalex.org/W2073089243","https://openalex.org/W2096118443","https://openalex.org/W2100002870","https://openalex.org/W2102351657","https://openalex.org/W2135324748","https://openalex.org/W2141582374","https://openalex.org/W2150779517","https://openalex.org/W2151251237","https://openalex.org/W2156123711","https://openalex.org/W2168363039","https://openalex.org/W2171959439","https://openalex.org/W2296358769","https://openalex.org/W2966207845","https://openalex.org/W3150719513","https://openalex.org/W3160447194","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2041550843","https://openalex.org/W2537489883","https://openalex.org/W1976515580","https://openalex.org/W1497214516","https://openalex.org/W2017644937","https://openalex.org/W2917586021","https://openalex.org/W2152125195","https://openalex.org/W2018792058","https://openalex.org/W2012465643","https://openalex.org/W3011161512"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"results":[5],"of":[6,30,59,80,89,94,96,100],"experimental":[7],"work":[8],"using":[9,92],"machine":[10],"learning":[11],"techniques":[12],"to":[13],"rapidly":[14],"identify":[15],"Skype":[16,21,32],"traffic.":[17],"We":[18,42,83],"show":[19],"that":[20],"traffic":[22,33],"can":[23],"be":[24],"identified":[25],"by":[26],"observing":[27,76],"5":[28],"seconds":[29],"a":[31,81],"flow,":[34],"with":[35],"recall":[36],"and":[37,66,99],"precision":[38],"better":[39],"than":[40,55,63],"98%.":[41],"found":[43],"the":[44,87],"most":[45],"effective":[46],"features":[47,98],"for":[48],"classification":[49],"were":[50],"characteristic":[51],"packet":[52,60],"lengths":[53,61],"less":[54],"80":[56,64],"bytes,":[57],"statistics":[58],"greater":[62],"bytes":[65],"inter-packet":[67],"arrival":[68],"times.":[69],"Our":[70],"classifiers":[71,90],"do":[72],"not":[73],"rely":[74],"on":[75,86],"any":[77],"particular":[78],"part":[79],"flow.":[82],"also":[84],"report":[85],"performance":[88],"built":[91],"combinations":[93],"two":[95],"these":[97],"each":[101],"feature":[102],"in":[103],"isolation.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-16T15:07:20.185449","created_date":"2025-10-10T00:00:00"}
