{"id":"https://openalex.org/W2012095206","doi":"https://doi.org/10.1145/1064212.1064220","title":"Internet traffic classification using bayesian analysis techniques","display_name":"Internet traffic classification using bayesian analysis techniques","publication_year":2005,"publication_date":"2005-06-06","ids":{"openalex":"https://openalex.org/W2012095206","doi":"https://doi.org/10.1145/1064212.1064220","mag":"2012095206"},"language":"en","primary_location":{"id":"doi:10.1145/1064212.1064220","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1064212.1064220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077257816","display_name":"Andrew W. Moore","orcid":"https://orcid.org/0000-0002-5494-9305"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew W. Moore","raw_affiliation_strings":["University of Cambridge","University of Cambridge,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"University of Cambridge,","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049260360","display_name":"\u0414 \u0412 \u0417\u0443\u0435\u0432","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Denis Zuev","raw_affiliation_strings":["University of Oxford"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":42.8831,"has_fulltext":false,"cited_by_count":1210,"citation_normalized_percentile":{"value":0.99937993,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"50","last_page":"60"},"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":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9854000210762024,"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":0.7699347734451294},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7291030883789062},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7082157135009766},{"id":"https://openalex.org/keywords/header","display_name":"Header","score":0.6375741958618164},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5463523864746094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5209571123123169},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.510520339012146},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.49982428550720215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48661455512046814},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4418409466743469},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.4197092652320862},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.41045764088630676},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.40086686611175537},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.15669867396354675},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1328471601009369},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10762709379196167},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08144688606262207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7699347734451294},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7291030883789062},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7082157135009766},{"id":"https://openalex.org/C48105269","wikidata":"https://www.wikidata.org/wiki/Q1141160","display_name":"Header","level":2,"score":0.6375741958618164},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5463523864746094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5209571123123169},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.510520339012146},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.49982428550720215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48661455512046814},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4418409466743469},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.4197092652320862},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.41045764088630676},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.40086686611175537},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.15669867396354675},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1328471601009369},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10762709379196167},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08144688606262207}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1064212.1064220","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1064212.1064220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.102.2173","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.102.2173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cl.cam.ac.uk/~awm22/publications/moore2005internet.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W149529048","https://openalex.org/W202086546","https://openalex.org/W1481277647","https://openalex.org/W1485321296","https://openalex.org/W1504694836","https://openalex.org/W1513886380","https://openalex.org/W1521553548","https://openalex.org/W1524496078","https://openalex.org/W1550206324","https://openalex.org/W1661871015","https://openalex.org/W1860651521","https://openalex.org/W1912123407","https://openalex.org/W1997610264","https://openalex.org/W2035654716","https://openalex.org/W2103312864","https://openalex.org/W2125055259","https://openalex.org/W2139386233","https://openalex.org/W2144098589","https://openalex.org/W2148275477","https://openalex.org/W2150398577","https://openalex.org/W2164867384","https://openalex.org/W2171634548","https://openalex.org/W2622248957","https://openalex.org/W2966207845","https://openalex.org/W4235667863","https://openalex.org/W6608166015","https://openalex.org/W6631506987","https://openalex.org/W6678836955"],"related_works":["https://openalex.org/W2171597999","https://openalex.org/W2189136227","https://openalex.org/W1866537546","https://openalex.org/W630850086","https://openalex.org/W3200508093","https://openalex.org/W4372053344","https://openalex.org/W3193978431","https://openalex.org/W4212842074","https://openalex.org/W2417174640","https://openalex.org/W1602622186"],"abstract_inverted_index":{"Accurate":[0],"traffic":[1,39,172,178],"classification":[2,110],"is":[3,126],"of":[4,20,68,82,85,95,148,165,170,177],"fundamental":[5],"importance":[6],"to":[7,15,22,37,54,102,121,173],"numerous":[8],"other":[9],"network":[10,48],"activities,":[11],"from":[12,18,145],"security":[13],"monitoring":[14],"accounting,":[16],"and":[17,111,151],"Quality":[19],"Service":[21],"providing":[23],"operators":[24],"with":[25,71,92,112,142],"useful":[26],"forecasts":[27],"for":[28],"long-term":[29],"provisioning.":[30],"We":[31,76,158],"apply":[32],"a":[33,55,127,162],"Na\u00efve":[34,57,73,96],"Bayes":[35,58,74,97],"estimator":[36,98],"categorize":[38],"by":[40],"application.":[41],"Uniquely,":[42],"our":[43,137,149,166],"work":[44],"capitalizes":[45],"on":[46,108],"hand-classified":[47],"data,":[49,141],"using":[50,155,168,179],"it":[51],"as":[52,161],"input":[53],"supervised":[56],"estimator.":[59,75,87],"In":[60],"this":[61,86,119,125,160],"paper":[62],"we":[63,99,116],"illustrate":[64,78],"the":[65,72,79,93,175],"high":[66],"level":[67],"accuracy":[69,81,107],"achievable":[70],"further":[77],"improved":[80],"refined":[83],"variants":[84],"Our":[88],"results":[89],"indicate":[90],"that":[91,133],"simplest":[94],"are":[100],"able":[101],"achieve":[103,134],"about":[104],"65":[105],"%":[106],"per-flow":[109],"two":[113],"powerful":[114,163],"refinements":[115],"can":[117],"improve":[118],"value":[120],"better":[122],"than":[123],"95%;":[124],"vast":[128],"improvement":[129],"over":[130],"traditional":[131],"techniques":[132],"50\u201370%.":[135],"While":[136],"technique":[138],"uses":[139],"training":[140,150],"categories":[143],"derived":[144],"packet-content,":[146],"all":[147],"testing":[152],"was":[153],"done":[154],"header-derived":[156],"discriminators.":[157],"emphasize":[159],"aspect":[164],"approach:":[167],"samples":[169],"well-known":[171],"allow":[174],"categorization":[176],"commonly-available":[180],"information":[181],"alone.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":35},{"year":2021,"cited_by_count":61},{"year":2020,"cited_by_count":59},{"year":2019,"cited_by_count":56},{"year":2018,"cited_by_count":70},{"year":2017,"cited_by_count":53},{"year":2016,"cited_by_count":55},{"year":2015,"cited_by_count":60},{"year":2014,"cited_by_count":70},{"year":2013,"cited_by_count":70},{"year":2012,"cited_by_count":87}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
