{"id":"https://openalex.org/W4205413245","doi":"https://doi.org/10.1109/tnsm.2021.3138457","title":"Network Intrusion Detection and Comparative Analysis Using Ensemble Machine Learning and Feature Selection","display_name":"Network Intrusion Detection and Comparative Analysis Using Ensemble Machine Learning and Feature Selection","publication_year":2021,"publication_date":"2021-12-27","ids":{"openalex":"https://openalex.org/W4205413245","doi":"https://doi.org/10.1109/tnsm.2021.3138457"},"language":"en","primary_location":{"id":"doi:10.1109/tnsm.2021.3138457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2021.3138457","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"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 Network and Service Management","raw_type":"journal-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/A5101694872","display_name":"Saikat Das","orcid":"https://orcid.org/0000-0003-1142-8259"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saikat Das","raw_affiliation_strings":["Department of Computer Science, University of Memphis, Memphis, TN, USA"],"raw_orcid":"https://orcid.org/0000-0003-1142-8259","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Memphis, Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087889739","display_name":"Sajal Saha","orcid":"https://orcid.org/0000-0002-1429-9387"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sajal Saha","raw_affiliation_strings":["Department of Computer Science, Western University, London, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-1429-9387","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Western University, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053492807","display_name":"Annita Tahsin Priyoti","orcid":"https://orcid.org/0000-0002-6543-3494"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Annita Tahsin Priyoti","raw_affiliation_strings":["Department of Computer Science, Western University, London, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-6543-3494","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Western University, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030730670","display_name":"Etee Kawna Roy","orcid":null},"institutions":[{"id":"https://openalex.org/I125956826","display_name":"Arkansas State University","ror":"https://ror.org/006pyvd89","country_code":"US","type":"education","lineage":["https://openalex.org/I125956826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Etee Kawna Roy","raw_affiliation_strings":["Department of Electrical Engineering, Arkansas State University, Jonesboro, AR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Arkansas State University, Jonesboro, AR, USA","institution_ids":["https://openalex.org/I125956826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019549865","display_name":"Frederick T. Sheldon","orcid":"https://orcid.org/0000-0003-1241-2750"},"institutions":[{"id":"https://openalex.org/I155093810","display_name":"University of Idaho","ror":"https://ror.org/03hbp5t65","country_code":"US","type":"education","lineage":["https://openalex.org/I155093810"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frederick T. Sheldon","raw_affiliation_strings":["Department of Computer Science, University of Idaho, Moscow, ID, USA"],"raw_orcid":"https://orcid.org/0000-0003-1241-2750","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Idaho, Moscow, ID, USA","institution_ids":["https://openalex.org/I155093810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011011621","display_name":"Anwar Haque","orcid":"https://orcid.org/0000-0002-5253-0455"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Anwar Haque","raw_affiliation_strings":["Department of Computer Science, Western University, London, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-5253-0455","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Western University, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012148704","display_name":"Sajjan G. Shiva","orcid":"https://orcid.org/0000-0002-3996-7484"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sajjan Shiva","raw_affiliation_strings":["Department of Computer Science, University of Memphis, Memphis, TN, USA"],"raw_orcid":"https://orcid.org/0000-0002-3996-7484","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Memphis, Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.9792,"has_fulltext":false,"cited_by_count":110,"citation_normalized_percentile":{"value":0.98145205,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"19","issue":"4","first_page":"4821","last_page":"4833"},"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":0.9995999932289124,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9994999766349792,"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":0.8815432786941528},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.8341646790504456},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.8070580959320068},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5920049548149109},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.579990804195404},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.5711778402328491},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5447394251823425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5304428935050964},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5278306603431702},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5046776533126831},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.18519023060798645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8815432786941528},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.8341646790504456},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8070580959320068},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5920049548149109},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.579990804195404},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.5711778402328491},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5447394251823425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5304428935050964},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5278306603431702},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5046776533126831},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.18519023060798645},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnsm.2021.3138457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2021.3138457","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"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 Network and Service Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1534477342","https://openalex.org/W1545764953","https://openalex.org/W1996655273","https://openalex.org/W2049559208","https://openalex.org/W2076384720","https://openalex.org/W2087016914","https://openalex.org/W2099940443","https://openalex.org/W2101109743","https://openalex.org/W2101234009","https://openalex.org/W2105779206","https://openalex.org/W2116560806","https://openalex.org/W2126762719","https://openalex.org/W2130949063","https://openalex.org/W2158275940","https://openalex.org/W2167101736","https://openalex.org/W2296509296","https://openalex.org/W2346331195","https://openalex.org/W2469122001","https://openalex.org/W2546923044","https://openalex.org/W2550999023","https://openalex.org/W2602516395","https://openalex.org/W2759242272","https://openalex.org/W2771399008","https://openalex.org/W2789758093","https://openalex.org/W2789828921","https://openalex.org/W2790513427","https://openalex.org/W2921968294","https://openalex.org/W2926701059","https://openalex.org/W2950250245","https://openalex.org/W2979590797","https://openalex.org/W3005260862","https://openalex.org/W3006579283","https://openalex.org/W3080798771","https://openalex.org/W3114627546","https://openalex.org/W3205696406","https://openalex.org/W6675354045","https://openalex.org/W6787742256"],"related_works":["https://openalex.org/W2217592955","https://openalex.org/W2128167806","https://openalex.org/W4224294743","https://openalex.org/W4205413245","https://openalex.org/W4225265637","https://openalex.org/W4246071138","https://openalex.org/W2164795173","https://openalex.org/W4220658398","https://openalex.org/W3177922938","https://openalex.org/W4206560480"],"abstract_inverted_index":{"Proper":[0],"security":[1,12,56],"solutions":[2],"in":[3,116],"the":[4,117,133],"cyber":[5],"world":[6],"are":[7,114],"crucial":[8],"for":[9,36,58],"enforcing":[10],"network":[11,16,19,59],"by":[13],"providing":[14],"real-time":[15],"protection":[17],"against":[18,40],"vulnerabilities":[20],"and":[21,67,83,99,111,119],"data":[22],"exploitation.":[23],"An":[24],"effective":[25],"intrusion":[26,60],"detection":[27,61,97,124],"strategy":[28],"is":[29,92],"capable":[30],"of":[31,79,89,129,136],"taking":[32],"a":[33,50,76,95],"holistic":[34],"approach":[35],"protecting":[37],"critical":[38],"systems":[39],"unauthorized":[41],"access":[42],"or":[43],"attack.":[44],"In":[45,72],"this":[46,90],"paper,":[47],"we":[48,74],"describe":[49],"machine":[51],"learning":[52],"(ML)":[53],"based":[54],"comprehensive":[55],"solution":[57],"using":[62],"ensemble":[63,68],"supervised":[64],"ML":[65,81],"framework":[66],"feature":[69,84],"selection":[70,85],"methods.":[71,86],"addition,":[73],"provide":[75],"comparative":[77],"analysis":[78],"several":[80],"models":[82],"The":[87],"goal":[88],"research":[91],"to":[93,145],"design":[94],"generic":[96],"mechanism":[98],"achieve":[100],"higher":[101],"accuracy":[102],"with":[103,132],"minimal":[104],"false":[105,137],"positive":[106],"rates":[107],"(FPR).":[108],"NSL-KDD,":[109],"UNSW-NB15,":[110],"CICIDS2017":[112],"datasets":[113],"used":[115],"experiment,":[118],"results":[120],"show":[121],"that":[122],"our":[123],"model":[125],"can":[126],"identify":[127],"99.3%":[128],"intrusions":[130],"successfully":[131],"lowest":[134],"0.5%":[135],"alarms,":[138],"which":[139],"depicts":[140],"better":[141],"performance":[142],"metrics":[143],"compared":[144],"existing":[146],"solutions.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":49},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":6}],"updated_date":"2026-06-18T10:00:31.954636","created_date":"2025-10-10T00:00:00"}