{"id":"https://openalex.org/W2077835140","doi":"https://doi.org/10.4304/jcp.9.5.1234-1240","title":"Principal Component Analysis Based Network Traffic Classification","display_name":"Principal Component Analysis Based Network Traffic Classification","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2077835140","doi":"https://doi.org/10.4304/jcp.9.5.1234-1240","mag":"2077835140"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.9.5.1234-1240","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.5.1234-1240","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","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/A5002772823","display_name":"Ruoyu Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruoyu Yan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5020378699","display_name":"Ran Liu","orcid":"https://orcid.org/0000-0003-0007-3691"},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Liu","raw_affiliation_strings":["North China University Of Water Conservancy and electric power"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China University Of Water Conservancy and electric power","institution_ids":["https://openalex.org/I198645480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2687,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.85418565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"9","issue":"5","first_page":null,"last_page":null},"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":0.9998000264167786,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/principal-component-analysis","display_name":"Principal component analysis","score":0.7814133763313293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6374816298484802},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.5444541573524475},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.42638808488845825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3847532272338867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3707265257835388},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23349687457084656},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.042122989892959595}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7814133763313293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6374816298484802},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.5444541573524475},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.42638808488845825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3847532272338867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3707265257835388},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23349687457084656},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.042122989892959595},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.9.5.1234-1240","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.5.1234-1240","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W166518444","https://openalex.org/W1495633614","https://openalex.org/W1501706198","https://openalex.org/W1521553548","https://openalex.org/W1973668864","https://openalex.org/W1999935041","https://openalex.org/W2012095206","https://openalex.org/W2028156479","https://openalex.org/W2041855183","https://openalex.org/W2047190825","https://openalex.org/W2055261595","https://openalex.org/W2077802885","https://openalex.org/W2105259927","https://openalex.org/W2137831706","https://openalex.org/W2156725431","https://openalex.org/W2156813924","https://openalex.org/W2167971042","https://openalex.org/W2171331105","https://openalex.org/W2171634548","https://openalex.org/W2367955095","https://openalex.org/W2798909945","https://openalex.org/W2799061466","https://openalex.org/W4229543188","https://openalex.org/W6606848403","https://openalex.org/W7014191107"],"related_works":["https://openalex.org/W2379533788","https://openalex.org/W1980511770","https://openalex.org/W2373052636","https://openalex.org/W2380927352","https://openalex.org/W3178621026","https://openalex.org/W2137598809","https://openalex.org/W2085553065","https://openalex.org/W4211209597","https://openalex.org/W3048981730","https://openalex.org/W2147478239"],"abstract_inverted_index":{"At":[0,90],"present":[1],"traffic":[2,15,18,24,152],"classification":[3],"is":[4,30,85,139],"widely":[5],"concerned":[6],"in":[7,87],"many":[8],"research":[9],"fields":[10],"such":[11],"as":[12],"network":[13,23],"security,":[14],"scheduling":[16],"and":[17,26,59,61,70,185,198],"accounting.":[19],"How":[20],"to":[21,103,108,121,141,165],"identify":[22,144],"fast":[25],"accurately":[27,143],"a":[36,56,75,131],"very":[37],"meaningful":[41],"thing.":[42],"But":[49],"most":[50],"machine":[51],"learning":[52],"based":[53,83,179],"methods":[54],"have":[55],"lower":[57],"speed":[58,187],"efficiency,":[60],"can":[62],"not":[63],"guarantee":[64],"their":[65],"stability":[69,184],"usability.":[71],"For":[72],"this":[73],"reason":[74],"Principal":[79],"Component":[80],"Analysis":[81],"(PCA)":[82],"method":[84,93,180,197],"proposed":[86],"the":[88,92,155,177],"paper.":[89],"first":[91],"use":[94],"Fast":[95],"Correlation-Based":[96],"Filter":[97],"(FCBF)":[98],"algorithm":[99],"filter":[104],"training":[105],"data":[106,161],"set":[107],"obtain":[109],"suitable":[110],"flow":[111,115,127,146],"attributes.":[112],"Then":[113],"these":[114],"attributes":[116],"are":[117,163],"processed":[118],"by":[119],"PCA":[120,178],"build":[122],"feature":[123],"subspace":[124],"for":[125],"each":[126],"class.":[128],"After":[129],"that":[130,176],"nearest":[136],"neighbor":[137],"rule":[138],"used":[140],"class":[149],"of":[150],"testing":[151],"sample.":[153],"In":[154],"end":[156],"some":[157,169],"experiments":[158],"on":[159],"public":[160],"sets":[162],"done":[164],"compare":[166],"performance":[167],"with":[168],"existing":[170],"methods.":[171],"The":[172],"experimental":[173],"results":[174],"show":[175],"has":[181],"higher":[182],"accuracy,":[183],"faster":[186],"than":[188],"Naive":[191,201],"Bayes":[192,202],"(NB)":[193],"estimation":[194,205],"Kernel":[203],"(NBK)":[204],"method.":[208]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
