{"id":"https://openalex.org/W2112086364","doi":"https://doi.org/10.1109/tcyb.2013.2247592","title":"Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection","display_name":"Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection","publication_year":2013,"publication_date":"2013-03-27","ids":{"openalex":"https://openalex.org/W2112086364","doi":"https://doi.org/10.1109/tcyb.2013.2247592","mag":"2112086364","pmid":"https://pubmed.ncbi.nlm.nih.gov/23757534"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2013.2247592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2013.2247592","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5114549594","display_name":"Weiming Hu","orcid":"https://orcid.org/0000-0001-9237-8825"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Hu","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China","Nat. Lab. of Pattern Recognition, Inst. of Autom., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Nat. Lab. of Pattern Recognition, Inst. of Autom., Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000598507","display_name":"Jun Gao","orcid":"https://orcid.org/0000-0001-5271-5663"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Gao","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China","Nat. Lab. of Pattern Recognition, Inst. of Autom., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Nat. Lab. of Pattern Recognition, Inst. of Autom., Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101575885","display_name":"Yanguo Wang","orcid":"https://orcid.org/0000-0001-7751-3259"},"institutions":[{"id":"https://openalex.org/I4210141966","display_name":"China Academy of Railway Sciences","ror":"https://ror.org/051wv2j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210141966"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanguo Wang","raw_affiliation_strings":["China Academy of Railway Sciences, Institute of Infrastructure Inspection, Beijing, China","Inst. of Infrastruct. Inspection, China Acad. of Railway Sci., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Academy of Railway Sciences, Institute of Infrastructure Inspection, Beijing, China","institution_ids":["https://openalex.org/I4210141966"]},{"raw_affiliation_string":"Inst. of Infrastruct. Inspection, China Acad. of Railway Sci., Beijing, China","institution_ids":["https://openalex.org/I4210141966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000753987","display_name":"Ou Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ou Wu","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China","Nat. Lab. of Pattern Recognition, Inst. of Autom., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Nat. Lab. of Pattern Recognition, Inst. of Autom., Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078239319","display_name":"Stephen J. Maybank","orcid":"https://orcid.org/0000-0003-2113-9119"},"institutions":[{"id":"https://openalex.org/I98259816","display_name":"Birkbeck, University of London","ror":"https://ror.org/02mb95055","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I98259816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stephen Maybank","raw_affiliation_strings":["Birkbeck College, School of Computer Science and Information Systems, London, U.K","School of Computer Science and Information Systems, Birkbeck College London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birkbeck College, School of Computer Science and Information Systems, London, U.K","institution_ids":["https://openalex.org/I98259816"]},{"raw_affiliation_string":"School of Computer Science and Information Systems, Birkbeck College London, UK","institution_ids":["https://openalex.org/I98259816"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":14.1988,"has_fulltext":false,"cited_by_count":160,"citation_normalized_percentile":{"value":0.98896085,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"44","issue":"1","first_page":"66","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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":0.996399998664856,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.8355568051338196},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.8126108646392822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7428868412971497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5502960681915283},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5311647057533264},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5021259784698486},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4982635974884033},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.4629754424095154},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46026116609573364},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.4538012146949768},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4535970091819763},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43337482213974},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3683389127254486},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11525407433509827}],"concepts":[{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.8355568051338196},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.8126108646392822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7428868412971497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5502960681915283},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5311647057533264},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5021259784698486},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4982635974884033},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.4629754424095154},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46026116609573364},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4538012146949768},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4535970091819763},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43337482213974},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3683389127254486},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11525407433509827},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcyb.2013.2247592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2013.2247592","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:23757534","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23757534","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":"Journal Article"},{"id":"pmh:oai:eprints.bbk.ac.uk.oai2:14320","is_oa":false,"landing_page_url":"https://eprints.bbk.ac.uk/id/eprint/14320/1/14320.pdf","pdf_url":"https://eprints.bbk.ac.uk/id/eprint/14320/1/14320.pdf","source":{"id":"https://openalex.org/S4306400465","display_name":"BIROn (Birkbeck, University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98259816","host_organization_name":"Birkbeck, University of London","host_organization_lineage":["https://openalex.org/I98259816"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W194180474","https://openalex.org/W1502190807","https://openalex.org/W1545302662","https://openalex.org/W1562695205","https://openalex.org/W1566480186","https://openalex.org/W1575097427","https://openalex.org/W1612207897","https://openalex.org/W1844815100","https://openalex.org/W1884606608","https://openalex.org/W1966147156","https://openalex.org/W1982304603","https://openalex.org/W1988790447","https://openalex.org/W1988918299","https://openalex.org/W1995126785","https://openalex.org/W1997741525","https://openalex.org/W1999427165","https://openalex.org/W2008445497","https://openalex.org/W2033688321","https://openalex.org/W2045012776","https://openalex.org/W2049633694","https://openalex.org/W2061406732","https://openalex.org/W2065028222","https://openalex.org/W2065086807","https://openalex.org/W2075964268","https://openalex.org/W2078408680","https://openalex.org/W2082168306","https://openalex.org/W2085305295","https://openalex.org/W2099435545","https://openalex.org/W2100537916","https://openalex.org/W2104893874","https://openalex.org/W2105472238","https://openalex.org/W2114238591","https://openalex.org/W2118112548","https://openalex.org/W2120617515","https://openalex.org/W2121458222","https://openalex.org/W2123387822","https://openalex.org/W2124536999","https://openalex.org/W2127048307","https://openalex.org/W2127806043","https://openalex.org/W2134778122","https://openalex.org/W2136112593","https://openalex.org/W2139562214","https://openalex.org/W2139733965","https://openalex.org/W2140506849","https://openalex.org/W2144248397","https://openalex.org/W2150755264","https://openalex.org/W2150847526","https://openalex.org/W2152195021","https://openalex.org/W2152618752","https://openalex.org/W2155714768","https://openalex.org/W2157062158","https://openalex.org/W2158275940","https://openalex.org/W2160598920","https://openalex.org/W2164576874","https://openalex.org/W2165299997","https://openalex.org/W2170865122","https://openalex.org/W2236015499","https://openalex.org/W2402846924","https://openalex.org/W2543928808","https://openalex.org/W3021542438","https://openalex.org/W4238722012","https://openalex.org/W6630021670","https://openalex.org/W6675039725","https://openalex.org/W6678146021","https://openalex.org/W6678190234","https://openalex.org/W6680602227","https://openalex.org/W6684325336","https://openalex.org/W6776683718"],"related_works":["https://openalex.org/W3039673966","https://openalex.org/W2002351707","https://openalex.org/W4293699968","https://openalex.org/W2035096001","https://openalex.org/W4312843811","https://openalex.org/W2327035729","https://openalex.org/W2387580700","https://openalex.org/W2746581472","https://openalex.org/W2899285606","https://openalex.org/W60934498"],"abstract_inverted_index":{"Current":[0],"network":[1,11],"intrusion":[2,14,34,83,192,227,241],"detection":[3,15,35,84,91,105,169,193,209],"systems":[4],"lack":[5],"adaptability":[6],"to":[7,152],"the":[8,17,38,57,99,114,125,159,178,188,207,212,218,226,237],"frequently":[9],"changing":[10],"environments.":[12],"Furthermore,":[13],"in":[16,86,95,109,124,147,215,221,232],"new":[18],"distributed":[19,82],"architectures":[20],"is":[21,46,65,93,107,129,150,196],"now":[22],"a":[23,41,81,88,119,167,172,222],"major":[24],"requirement.":[25],"In":[26,37,56],"this":[27],"paper,":[28],"we":[29],"propose":[30,80],"two":[31],"online":[32,43,62,68,100,161,180],"Adaboost-based":[33],"algorithms.":[36,194],"first":[39],"algorithm,":[40,59],"traditional":[42,179],"Adaboost":[44,63,101,162,181],"process":[45,64,163,182],"used":[47,52,74,151],"where":[48],"decision":[49,185],"stumps":[50],"are":[51,73,230],"as":[53,75],"weak":[54,76],"classifiers.":[55,77],"second":[58],"an":[60,132],"improved":[61,160],"proposed,":[66],"and":[67,140,171,202],"Gaussian":[69],"mixture":[70],"models":[71,117,210],"(GMMs)":[72],"We":[78],"further":[79],"framework,":[85],"which":[87],"local":[89,115,208],"parameterized":[90],"model":[92,106,146,214,220],"constructed":[94,108],"each":[96,110,148,216],"node":[97,111,149,223],"using":[98,118,131],"algorithm.":[102],"A":[103],"global":[104,145,213,219],"by":[112],"combining":[113],"parametric":[116],"small":[120],"number":[121],"of":[122,239],"samples":[123,238],"node.":[126],"This":[127],"combination":[128],"achieved":[130],"algorithm":[133,204],"based":[134],"on":[135],"particle":[136],"swarm":[137],"optimization":[138],"(PSO)":[139],"support":[141],"vector":[142],"machines.":[143],"The":[144],"detect":[153],"intrusions.":[154],"Experimental":[155],"results":[156],"show":[157],"that":[158,183,199,229],"with":[164],"GMMs":[165],"obtains":[166],"higher":[168],"rate":[170,176],"lower":[173],"false":[174],"alarm":[175],"than":[177],"uses":[184],"stumps.":[186],"Both":[187],"algorithms":[189],"outperform":[190],"existing":[191],"It":[195],"also":[197],"shown":[198],"our":[200],"PSO,":[201],"SVM-based":[203],"effectively":[205],"combines":[206],"into":[211],"node;":[217],"can":[224],"handle":[225],"types":[228],"found":[231],"other":[233],"nodes,":[234],"without":[235],"sharing":[236],"these":[240],"types.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":19},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":5}],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}
