{"id":"https://openalex.org/W4407943910","doi":"https://doi.org/10.3390/computers14030082","title":"Ensemble Learning for Network Intrusion Detection Based on Correlation and Embedded Feature Selection Techniques","display_name":"Ensemble Learning for Network Intrusion Detection Based on Correlation and Embedded Feature Selection Techniques","publication_year":2025,"publication_date":"2025-02-25","ids":{"openalex":"https://openalex.org/W4407943910","doi":"https://doi.org/10.3390/computers14030082"},"language":"en","primary_location":{"id":"doi:10.3390/computers14030082","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers14030082","pdf_url":"https://www.mdpi.com/2073-431X/14/3/82/pdf?version=1740456449","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-431X/14/3/82/pdf?version=1740456449","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027519778","display_name":"Ghalia Nassreddine","orcid":"https://orcid.org/0000-0001-9434-2914"},"institutions":[{"id":"https://openalex.org/I4210106106","display_name":"Rafik Hariri University","ror":"https://ror.org/00x1fdr51","country_code":"LB","type":"education","lineage":["https://openalex.org/I4210106106"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Ghalia Nassreddine","raw_affiliation_strings":["Computer and Information Systems Department, Rafik Hariri University, Damour-Chouf 2010, Lebanon"],"raw_orcid":"https://orcid.org/0000-0001-9434-2914","affiliations":[{"raw_affiliation_string":"Computer and Information Systems Department, Rafik Hariri University, Damour-Chouf 2010, Lebanon","institution_ids":["https://openalex.org/I4210106106"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069553096","display_name":"Mohamad Nassereddine","orcid":"https://orcid.org/0000-0001-6748-7368"},"institutions":[{"id":"https://openalex.org/I55990551","display_name":"University of Wollongong in Dubai","ror":"https://ror.org/0447ajy94","country_code":"AE","type":"education","lineage":["https://openalex.org/I204824540","https://openalex.org/I55990551"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Mohamad Nassereddine","raw_affiliation_strings":["School of Engineering, University of Wollongong in Dubai, Knowledge Village, Dubai P.O. Box 20183, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0001-6748-7368","affiliations":[{"raw_affiliation_string":"School of Engineering, University of Wollongong in Dubai, Knowledge Village, Dubai P.O. Box 20183, United Arab Emirates","institution_ids":["https://openalex.org/I55990551"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083724097","display_name":"Obada Al-Khatib","orcid":"https://orcid.org/0000-0001-9473-2365"},"institutions":[{"id":"https://openalex.org/I55990551","display_name":"University of Wollongong in Dubai","ror":"https://ror.org/0447ajy94","country_code":"AE","type":"education","lineage":["https://openalex.org/I204824540","https://openalex.org/I55990551"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Obada Al-Khatib","raw_affiliation_strings":["School of Engineering, University of Wollongong in Dubai, Knowledge Village, Dubai P.O. Box 20183, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0001-9473-2365","affiliations":[{"raw_affiliation_string":"School of Engineering, University of Wollongong in Dubai, Knowledge Village, Dubai P.O. Box 20183, United Arab Emirates","institution_ids":["https://openalex.org/I55990551"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069553096"],"corresponding_institution_ids":["https://openalex.org/I55990551"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":32.8504,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.99744228,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"14","issue":"3","first_page":"82","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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9990000128746033,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/feature-selection","display_name":"Feature selection","score":0.7216196060180664},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.673149049282074},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6634070873260498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6536623239517212},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5921040177345276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5706329941749573},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48074817657470703},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47003644704818726},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4641016721725464},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39545950293540955},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3444440960884094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13467642664909363}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7216196060180664},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.673149049282074},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6634070873260498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6536623239517212},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5921040177345276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5706329941749573},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48074817657470703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47003644704818726},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4641016721725464},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39545950293540955},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3444440960884094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13467642664909363},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/computers14030082","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers14030082","pdf_url":"https://www.mdpi.com/2073-431X/14/3/82/pdf?version=1740456449","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fee76c5869f940328711821398ca545f","is_oa":true,"landing_page_url":"https://doaj.org/article/fee76c5869f940328711821398ca545f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computers, Vol 14, Iss 3, p 82 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/computers14030082","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers14030082","pdf_url":"https://www.mdpi.com/2073-431X/14/3/82/pdf?version=1740456449","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407943910.pdf"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W213977334","https://openalex.org/W2024223694","https://openalex.org/W2066416082","https://openalex.org/W2782812564","https://openalex.org/W2783741806","https://openalex.org/W2789654058","https://openalex.org/W2799900537","https://openalex.org/W2807319534","https://openalex.org/W2885478531","https://openalex.org/W2900104313","https://openalex.org/W2911964244","https://openalex.org/W2972418846","https://openalex.org/W2977634018","https://openalex.org/W2986334213","https://openalex.org/W3008195198","https://openalex.org/W3009253820","https://openalex.org/W3014732532","https://openalex.org/W3024905798","https://openalex.org/W3043530913","https://openalex.org/W3080816325","https://openalex.org/W3118429534","https://openalex.org/W3135689386","https://openalex.org/W3178931291","https://openalex.org/W3194111370","https://openalex.org/W3202760407","https://openalex.org/W3217115371","https://openalex.org/W4200236772","https://openalex.org/W4200261849","https://openalex.org/W4288061065","https://openalex.org/W4313398878","https://openalex.org/W4313586675","https://openalex.org/W4320063358","https://openalex.org/W4363674670","https://openalex.org/W4382793227","https://openalex.org/W4384787750","https://openalex.org/W4388573952","https://openalex.org/W4390737701","https://openalex.org/W4391099793","https://openalex.org/W4392029839","https://openalex.org/W4392347784","https://openalex.org/W4398164425","https://openalex.org/W4399666315","https://openalex.org/W4401295443","https://openalex.org/W4401357688","https://openalex.org/W4403297867","https://openalex.org/W4403563850","https://openalex.org/W4405613963","https://openalex.org/W4406093177","https://openalex.org/W6871416806","https://openalex.org/W6875580293"],"related_works":["https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2355007334","https://openalex.org/W2390009783","https://openalex.org/W4254602698","https://openalex.org/W2394461323","https://openalex.org/W2349441905","https://openalex.org/W2361044160","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"across":[2],"various":[3],"sectors":[4],"have":[5],"resulted":[6,20,41],"in":[7,11,21,42,45],"a":[8,43,55,83,113,155,173],"significant":[9],"increase":[10],"the":[12,25,28,34,37,93,100,123,127,136,149,166,187,190],"utilization":[13],"of":[14,24,36,58,95,151,179,189],"smart":[15],"gadgets.":[16],"This":[17],"augmentation":[18],"has":[19,39],"an":[22,131,141,152,177],"expansion":[23],"network":[26,38,60,69,87],"and":[27,77,107,168],"devices":[29],"linked":[30],"to":[31],"it.":[32],"Nevertheless,":[33],"development":[35],"concurrently":[40],"rise":[44],"policy":[46],"infractions":[47],"impacting":[48],"information":[49],"security.":[50,61],"Finding":[51],"intruders":[52],"immediately":[53],"is":[54,66,115,119,158,163],"critical":[56],"component":[57],"maintaining":[59],"The":[62,160],"intrusion":[63,88],"detection":[64,89],"system":[65],"useful":[67],"for":[68,86,181],"security":[70],"because":[71],"it":[72],"can":[73],"quickly":[74],"identify":[75],"threats":[76],"give":[78],"alarms.":[79],"In":[80],"this":[81,117],"paper,":[82],"new":[84],"approach":[85,129],"was":[90],"proposed.":[91],"Combining":[92],"results":[94,185],"machine":[96],"learning":[97],"models":[98],"like":[99],"random":[101],"forest,":[102],"decision":[103],"tree,":[104],"k-nearest":[105],"neighbors,":[106],"XGBoost":[108],"with":[109,140,176],"logistic":[110],"regression":[111],"as":[112],"meta-model":[114],"what":[116],"method":[118,133],"based":[120,144],"on.":[121],"For":[122,147],"feature":[124,138],"selection":[125,139],"technique,":[126],"proposed":[128,191],"creates":[130],"advanced":[132],"that":[134],"combines":[135],"correlation-based":[137],"embedded":[142],"technique":[143,157],"on":[145,165],"XGBoost.":[146],"handling":[148],"challenge":[150],"imbalanced":[153],"dataset,":[154],"SMOTE-TOMEK":[156],"used.":[159],"suggested":[161],"algorithm":[162],"tested":[164],"NSL-KDD":[167],"CIC-IDS":[169],"datasets.":[170,183],"It":[171],"shows":[172],"high":[174],"performance":[175],"accuracy":[178],"99.99%":[180],"both":[182],"These":[184],"prove":[186],"effectiveness":[188],"approach.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":15}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}
