{"id":"https://openalex.org/W2968869905","doi":"https://doi.org/10.1109/cscwd.2019.8791854","title":"Error-correcting Ability based Collaborative Multi-Layer Selective Classifier Ensemble Model for Intrusion Detection","display_name":"Error-correcting Ability based Collaborative Multi-Layer Selective Classifier Ensemble Model for Intrusion Detection","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2968869905","doi":"https://doi.org/10.1109/cscwd.2019.8791854","mag":"2968869905"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd.2019.8791854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd.2019.8791854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5008002694","display_name":"Limin Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Limin Lu","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003969171","display_name":"Shaohua Teng","orcid":"https://orcid.org/0000-0002-7204-1288"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Teng","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109156232","display_name":"Wei Zhang","orcid":"https://orcid.org/0009-0003-9826-9883"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379409","display_name":"Zhenhua Zhang","orcid":"https://orcid.org/0000-0003-2148-8239"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064159741","display_name":"Dongning Liu","orcid":"https://orcid.org/0000-0003-3588-5833"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongning Liu","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052008856","display_name":"Xiaozhao Fang","orcid":"https://orcid.org/0000-0001-8440-1765"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaozhao Fang","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5008002694"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.7074,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73394096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962999820709229,"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":0.8020484447479248},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7196969389915466},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6848844885826111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5862669944763184},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5724576711654663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46244293451309204},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.45324766635894775},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40685877203941345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38536179065704346}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8020484447479248},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7196969389915466},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6848844885826111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5862669944763184},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5724576711654663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46244293451309204},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.45324766635894775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40685877203941345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38536179065704346},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd.2019.8791854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd.2019.8791854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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":27,"referenced_works":["https://openalex.org/W764677550","https://openalex.org/W836876797","https://openalex.org/W1496929357","https://openalex.org/W1534477342","https://openalex.org/W1974102697","https://openalex.org/W1995126785","https://openalex.org/W1999956742","https://openalex.org/W2022747340","https://openalex.org/W2039377530","https://openalex.org/W2097034581","https://openalex.org/W2099940443","https://openalex.org/W2112086364","https://openalex.org/W2127233333","https://openalex.org/W2150755264","https://openalex.org/W2163983382","https://openalex.org/W2164424702","https://openalex.org/W2191006491","https://openalex.org/W2342147308","https://openalex.org/W2342992012","https://openalex.org/W2432038293","https://openalex.org/W2527999453","https://openalex.org/W2537923357","https://openalex.org/W2552493337","https://openalex.org/W2600328926","https://openalex.org/W2731187515","https://openalex.org/W2808626748","https://openalex.org/W6632075054"],"related_works":["https://openalex.org/W4376643315","https://openalex.org/W4324137541","https://openalex.org/W2900445707","https://openalex.org/W4285741730","https://openalex.org/W1191482210","https://openalex.org/W4285046548","https://openalex.org/W4210302090","https://openalex.org/W3092276832","https://openalex.org/W3111529524","https://openalex.org/W4375951447"],"abstract_inverted_index":{"Ensemble":[0],"classifier,":[1],"b":[2],"y":[3],"combining":[4],"multiple":[5,36],"classifiers,":[6],"can":[7],"often":[8],"achieve":[9],"better":[10],"performance":[11,46,60,176],"than":[12],"single":[13],"classifiers":[14,37,128],"in":[15,75],"intrusion":[16,26,54],"detection.":[17],"Although":[18],"some":[19],"ensemble":[20,71,112,132],"methods":[21],"have":[22],"been":[23],"used":[24,115],"for":[25,135],"detection,":[27],"most":[28],"of":[29,88,96,157,177,192,197,204],"them":[30],"directly":[31],"fuse":[32],"detection":[33,55,147],"outputs":[34],"after":[35],"a":[38,52,83,101,145],"re":[39],"generated.":[40],"It":[41,189],"potentially":[42],"reduce":[43],"the":[44,81,118,149,164,169,178,186],"overall":[45],"and":[47,61,121,160,183,199],"flexibility.":[48],"Aiming":[49],"at":[50],"achieving":[51],"high-precision":[53],"model":[56,72],"with":[57],"good":[58],"generalization":[59],"robustness,":[62],"an":[63,107,131],"error-correcting":[64,108,122],"ability":[65],"based":[66,109],"collaborative":[67],"multi-layer":[68,85],"selective":[69,110],"classifier":[70,111,120,133],"is":[73,92,98,114,152,181],"proposed":[74,179],"this":[76,136],"paper,":[77],"named":[78],"ML-SCEM.":[79],"In":[80,104],"ML-SCEM,":[82],"novel":[84],"structure":[86],"consisting":[87],"5":[89],"continuous":[90],"layers":[91],"designed,":[93],"each":[94,105],"layer":[95,137],"which":[97],"equivalent":[99],"to":[100,116,129,141,163],"binary":[102],"classification.":[103],"layer,":[106],"method(SCEM)":[113],"select":[117],"main":[119],"components":[123],"from":[124],"M":[125],"preselected":[126],"base":[127],"generate":[130],"suitable":[134],"classification":[138],"category.":[139],"Furthermore":[140],"improve":[142],"time":[143],"efficiency":[144],"nd":[146],"performance,":[148],"original":[150],"dataset":[151],"divided":[153],"into":[154],"3":[155],"parts":[156,171],"TCP,":[158],"UDP":[159],"ICMP":[161],"according":[162],"network":[165],"protocol,":[166],"so":[167],"that":[168],"three":[170],"are":[172],"collaboratively":[173],"detected.":[174],"The":[175],"ML-SCEM":[180],"evaluated":[182],"compared":[184],"on":[185],"NSL-KDD":[187],"dataset.":[188],"achieves":[190],"accuracy":[191],"97.07%,":[193],"false":[194],"positive":[195],"rate":[196],"1.58%":[198],"efficiently":[200],"detects":[201],"various":[202],"types":[203],"attacks.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
