{"id":"https://openalex.org/W2604813801","doi":"https://doi.org/10.1145/3036290.3036303","title":"Multi-Perspective Machine Learning a Classifier Ensemble Method for Intrusion Detection","display_name":"Multi-Perspective Machine Learning a Classifier Ensemble Method for Intrusion Detection","publication_year":2017,"publication_date":"2017-01-13","ids":{"openalex":"https://openalex.org/W2604813801","doi":"https://doi.org/10.1145/3036290.3036303","mag":"2604813801"},"language":"en","primary_location":{"id":"doi:10.1145/3036290.3036303","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3036290.3036303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 International Conference on Machine Learning and Soft Computing","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/A5056807562","display_name":"Sean T. Miller","orcid":null},"institutions":[{"id":"https://openalex.org/I137799390","display_name":"University of the West Indies System","ror":"https://ror.org/01t20sn94","country_code":"JM","type":"education","lineage":["https://openalex.org/I137799390"]}],"countries":["JM"],"is_corresponding":true,"raw_author_name":"Sean T. Miller","raw_affiliation_strings":["The University of the West Indies Mona, Department of Computing, Kingston, Jamaica"],"affiliations":[{"raw_affiliation_string":"The University of the West Indies Mona, Department of Computing, Kingston, Jamaica","institution_ids":["https://openalex.org/I137799390"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047693856","display_name":"Curtis Busby-Earle","orcid":null},"institutions":[{"id":"https://openalex.org/I137799390","display_name":"University of the West Indies System","ror":"https://ror.org/01t20sn94","country_code":"JM","type":"education","lineage":["https://openalex.org/I137799390"]}],"countries":["JM"],"is_corresponding":false,"raw_author_name":"Curtis Busby-Earle","raw_affiliation_strings":["The University of the West Indies Mona, Department of Computing, Kingston, Jamaica"],"affiliations":[{"raw_affiliation_string":"The University of the West Indies Mona, Department of Computing, Kingston, Jamaica","institution_ids":["https://openalex.org/I137799390"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056807562"],"corresponding_institution_ids":["https://openalex.org/I137799390"],"apc_list":null,"apc_paid":null,"fwci":2.4864,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.90544972,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"12"},"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":0.9990000128746033,"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/T10734","display_name":"Information and Cyber Security","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7793557643890381},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7284016609191895},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.7227349877357483},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7165675759315491},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6825987100601196},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6727261543273926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6525545716285706},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.562921404838562},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.506072461605072},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41988974809646606}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7793557643890381},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7284016609191895},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.7227349877357483},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7165675759315491},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6825987100601196},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6727261543273926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6525545716285706},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.562921404838562},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.506072461605072},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41988974809646606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3036290.3036303","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3036290.3036303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W433644524","https://openalex.org/W1642161394","https://openalex.org/W1775772884","https://openalex.org/W2085789144","https://openalex.org/W2100805904","https://openalex.org/W2120617515","https://openalex.org/W2122239256","https://openalex.org/W2133081131","https://openalex.org/W2133990480","https://openalex.org/W2150757437","https://openalex.org/W2161208102","https://openalex.org/W2287408518","https://openalex.org/W2350778671"],"related_works":["https://openalex.org/W2073883415","https://openalex.org/W2889302474","https://openalex.org/W2905156999","https://openalex.org/W4229460275","https://openalex.org/W4296079469","https://openalex.org/W2944292463","https://openalex.org/W1987518466","https://openalex.org/W3014252901","https://openalex.org/W3135046080","https://openalex.org/W3023033471"],"abstract_inverted_index":{"Today":[0],"cyber":[1],"security":[2,44],"is":[3,76,100],"one":[4,79],"of":[5,10,18,43,70,74,92,129],"the":[6,107,123,127,134],"most":[7],"active":[8],"fields":[9],"re-":[11],"search":[12],"due":[13],"to":[14,53],"its":[15],"wide":[16],"range":[17],"impact":[19],"in":[20,39,122],"business,":[21],"govern-":[22],"ment":[23],"and":[24,33,125,154],"everyday":[25],"life.":[26],"In":[27,46],"recent":[28],"years":[29],"machine":[30,58],"learning":[31],"methods":[32,69,147],"algorithms":[34],"have":[35],"been":[36],"quite":[37],"successful":[38],"a":[40,90,141],"num-":[41],"ber":[42],"areas.":[45],"this":[47,115],"paper,":[48],"we":[49],"explore":[50],"an":[51],"approach":[52],"classify":[54],"intrusion":[55],"called":[56,113],"multi-perspective":[57],"learn-":[59],"ing":[60],"(MPML).":[61],"For":[62],"any":[63],"given":[64],"cyber-attack":[65],"there":[66],"are":[67,86],"multiple":[68],"detection.":[71],"Every":[72],"method":[73],"detection":[75],"built":[77],"on":[78,133],"or":[80],"more":[81],"network":[82,93],"characteristic.":[83],"These":[84],"characteristics":[85,109],"then":[87],"represented":[88],"by":[89,102],"number":[91],"features.":[94],"The":[95],"main":[96],"idea":[97],"behind":[98],"MPML":[99],"that,":[101],"grouping":[103],"features":[104],"that":[105],"support":[106],"same":[108],"into":[110],"feature":[111],"subsets":[112],"perspectives,":[114],"will":[116],"encourage":[117],"diversity":[118],"among":[119],"perspectives":[120],"(classifiers":[121],"ensemble)":[124],"improve":[126],"accuracy":[128],"prediction.":[130],"Initial":[131],"results":[132],"NSL-":[135],"KDD":[136],"dataset":[137],"show":[138],"at":[139],"least":[140],"4%":[142],"improvement":[143],"over":[144],"other":[145],"ensemble":[146],"such":[148],"as":[149],"bagging":[150],"boosting":[151],"rotation":[152],"forest":[153],"random":[155],"for-":[156],"est.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}