{"id":"https://openalex.org/W2053877792","doi":"https://doi.org/10.1109/wpmc.2014.7014812","title":"P2P traffic identification method based on an improvement incremental SVM learning algorithm","display_name":"P2P traffic identification method based on an improvement incremental SVM learning algorithm","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2053877792","doi":"https://doi.org/10.1109/wpmc.2014.7014812","mag":"2053877792"},"language":"en","primary_location":{"id":"doi:10.1109/wpmc.2014.7014812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wpmc.2014.7014812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Symposium on Wireless Personal Multimedia Communications (WPMC)","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/A5101551965","display_name":"Jing Gong","orcid":"https://orcid.org/0000-0002-0040-5839"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Gong","raw_affiliation_strings":["Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education (Nanjing University of Posts and Telecommunications, Nanjing, China","College of mathematics & physics of Nanjing, University of Posts and Telecommunications, 210023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education (Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of mathematics & physics of Nanjing, University of Posts and Telecommunications, 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393027","display_name":"Wenjun Wang","orcid":"https://orcid.org/0000-0002-3325-7481"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Wang","raw_affiliation_strings":["Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education (Nanjing University of Posts and Telecommunications, Nanjing, China","Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education (Nanjing University of Posts and Telecommunications), 210003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education (Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education (Nanjing University of Posts and Telecommunications), 210003, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108047873","display_name":"Pan Wang","orcid":"https://orcid.org/0000-0003-2006-1129"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Wang","raw_affiliation_strings":["Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education (Nanjing University of Posts and Telecommunications, Nanjing, China","Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education (Nanjing University of Posts and Telecommunications), 210003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education (Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education (Nanjing University of Posts and Telecommunications), 210003, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101519217","display_name":"Zhixin Sun","orcid":"https://orcid.org/0000-0001-6536-185X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixin Sun","raw_affiliation_strings":["Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education (Nanjing University of Posts and Telecommunications, Nanjing, China","Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education (Nanjing University of Posts and Telecommunications), 210003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education (Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education (Nanjing University of Posts and Telecommunications), 210003, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.6203,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67524489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"24","issue":null,"first_page":"174","last_page":"179"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9923999905586243,"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/support-vector-machine","display_name":"Support vector machine","score":0.7507287263870239},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7246410250663757},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6344265341758728},{"id":"https://openalex.org/keywords/population-based-incremental-learning","display_name":"Population-based incremental learning","score":0.6044989824295044},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.5356801152229309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5344679951667786},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5274213552474976},{"id":"https://openalex.org/keywords/weighted-majority-algorithm","display_name":"Weighted Majority Algorithm","score":0.5153815150260925},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4948839545249939},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.47476768493652344},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.46026188135147095},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.43867695331573486},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.3491731286048889},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.324655145406723},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24504992365837097},{"id":"https://openalex.org/keywords/wake-sleep-algorithm","display_name":"Wake-sleep algorithm","score":0.23570263385772705},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.11543014645576477},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.08120891451835632}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7507287263870239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7246410250663757},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6344265341758728},{"id":"https://openalex.org/C184497298","wikidata":"https://www.wikidata.org/wiki/Q7229773","display_name":"Population-based incremental learning","level":3,"score":0.6044989824295044},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.5356801152229309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5344679951667786},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5274213552474976},{"id":"https://openalex.org/C95627357","wikidata":"https://www.wikidata.org/wiki/Q7979889","display_name":"Weighted Majority Algorithm","level":5,"score":0.5153815150260925},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4948839545249939},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.47476768493652344},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.46026188135147095},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.43867695331573486},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.3491731286048889},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.324655145406723},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24504992365837097},{"id":"https://openalex.org/C17061570","wikidata":"https://www.wikidata.org/wiki/Q7960888","display_name":"Wake-sleep algorithm","level":4,"score":0.23570263385772705},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.11543014645576477},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.08120891451835632},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wpmc.2014.7014812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wpmc.2014.7014812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Symposium on Wireless Personal Multimedia Communications (WPMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W238862651","https://openalex.org/W2023602538","https://openalex.org/W2037307005","https://openalex.org/W2056348361","https://openalex.org/W2057323664","https://openalex.org/W2058176934","https://openalex.org/W2087347434","https://openalex.org/W2092685308","https://openalex.org/W2104887454","https://openalex.org/W2106462908","https://openalex.org/W2106778359","https://openalex.org/W2132641846","https://openalex.org/W2140542782","https://openalex.org/W2156415837","https://openalex.org/W2156909104","https://openalex.org/W2319113056","https://openalex.org/W2387281540","https://openalex.org/W3141290699","https://openalex.org/W4300619116","https://openalex.org/W6699592806"],"related_works":["https://openalex.org/W3196155444","https://openalex.org/W4306321456","https://openalex.org/W4319309271","https://openalex.org/W3025582806","https://openalex.org/W3094076422","https://openalex.org/W1999956603","https://openalex.org/W2153431369","https://openalex.org/W2026228882","https://openalex.org/W2111461888","https://openalex.org/W2053877792"],"abstract_inverted_index":{"How":[0],"to":[1,44],"classify":[2],"the":[3,17,32,41,46,60,67,79,82,86,93,109,125,128],"data":[4,57],"sets":[5,72],"with":[6],"vast":[7],"information":[8],"amount":[9],"and":[10,75,92,123],"large":[11],"distribution":[12],"fluctuation,":[13],"which":[14],"is":[15,49],"always":[16],"research":[18],"hotspot.":[19],"This":[20],"paper":[21,80],"puts":[22],"forward":[23],"an":[24,52],"improved":[25,94,110],"SVM":[26,38,70,88,95,111],"incremental":[27,34,56,71,89,96,112],"learning":[28,35,90,97,113],"algorithm":[29,61,91,98,114],"by":[30],"comparing":[31],"different":[33],"methods":[36],"of":[37,69,127,130],"algorithm.":[39],"In":[40],"algorithm,":[42,85],"whether":[43],"violate":[45],"KTT":[47],"conditions":[48],"regarded":[50],"as":[51],"important":[53],"basis":[54],"for":[55],"set.":[58],"And":[59],"will":[62],"be":[63],"more":[64],"efficient":[65],"on":[66],"classification":[68],"through":[73,99],"optimizing":[74],"improving":[76],"itself.":[77],"Then":[78],"compares":[81],"SVM-based":[83],"re-training":[84],"standard":[87],"identifying":[100],"P2P":[101,131],"network":[102],"traffic.":[103,132],"The":[104],"experimental":[105],"results":[106],"show":[107],"that":[108],"proposed":[115],"in":[116],"this":[117],"article":[118],"can":[119],"save":[120],"storage":[121],"space":[122],"increase":[124],"accuracy":[126],"identification":[129]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
