{"id":"https://openalex.org/W4320035987","doi":"https://doi.org/10.1007/s44196-022-00171-9","title":"SMMO-CoFS: Synthetic Multi-minority Oversampling with Collaborative Feature Selection for Network Intrusion Detection System","display_name":"SMMO-CoFS: Synthetic Multi-minority Oversampling with Collaborative Feature Selection for Network Intrusion Detection System","publication_year":2023,"publication_date":"2023-02-11","ids":{"openalex":"https://openalex.org/W4320035987","doi":"https://doi.org/10.1007/s44196-022-00171-9"},"language":"en","primary_location":{"id":"doi:10.1007/s44196-022-00171-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-022-00171-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-022-00171-9.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44196-022-00171-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047818448","display_name":"Yeshalem Gezahegn Damtew","orcid":null},"institutions":[{"id":"https://openalex.org/I1282700336","display_name":"Debre Berhan University","ror":"https://ror.org/04e72vw61","country_code":"ET","type":"education","lineage":["https://openalex.org/I1282700336"]},{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN","ET"],"is_corresponding":true,"raw_author_name":"Yeshalem Gezahegn Damtew","raw_affiliation_strings":["College of Computing Science, Debre Berhan University, 445, Debre Berhan, Ethiopia","School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, 611756, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing Science, Debre Berhan University, 445, Debre Berhan, Ethiopia","institution_ids":["https://openalex.org/I1282700336"]},{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, 611756, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112747049","display_name":"Hongmei Chen","orcid":"https://orcid.org/0000-0002-9551-1844"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmei Chen","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, 611756, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, 611756, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047818448"],"corresponding_institution_ids":["https://openalex.org/I1282700336","https://openalex.org/I4800084"],"apc_list":{"value":1390,"currency":"GBP","value_usd":1704},"apc_paid":{"value":1390,"currency":"GBP","value_usd":1704},"fwci":2.4599,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.89295039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"16","issue":"1","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983999729156494,"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":0.994700014591217,"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/oversampling","display_name":"Oversampling","score":0.8860411643981934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8044332265853882},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.749627947807312},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6770792007446289},{"id":"https://openalex.org/keywords/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.5739055871963501},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5575441718101501},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5098318457603455},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5016233921051025},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5000009536743164},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4561048150062561},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4060443043708801},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40417808294296265},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21076330542564392},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.08890378475189209}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.8860411643981934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8044332265853882},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.749627947807312},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6770792007446289},{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.5739055871963501},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5575441718101501},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5098318457603455},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5016233921051025},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5000009536743164},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4561048150062561},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4060443043708801},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40417808294296265},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21076330542564392},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.08890378475189209},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44196-022-00171-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-022-00171-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-022-00171-9.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fd6181e1b2a34e0d815c52e912bc98f4","is_oa":true,"landing_page_url":"https://doaj.org/article/fd6181e1b2a34e0d815c52e912bc98f4","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":"International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-20 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44196-022-00171-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-022-00171-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-022-00171-9.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321895","display_name":"Government of Jiangxi Province","ror":"https://ror.org/02fzqav45"},{"id":"https://openalex.org/F4320322720","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4320035987.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W389495377","https://openalex.org/W1560107318","https://openalex.org/W1598605300","https://openalex.org/W1977366836","https://openalex.org/W2024223694","https://openalex.org/W2044546987","https://openalex.org/W2047408376","https://openalex.org/W2096235960","https://openalex.org/W2099940443","https://openalex.org/W2148143831","https://openalex.org/W2170413589","https://openalex.org/W2171095014","https://openalex.org/W2342408547","https://openalex.org/W2444625575","https://openalex.org/W2462401346","https://openalex.org/W2557831587","https://openalex.org/W2736435690","https://openalex.org/W2794450418","https://openalex.org/W2807786182","https://openalex.org/W2808173391","https://openalex.org/W2870670057","https://openalex.org/W2898001300","https://openalex.org/W2899365137","https://openalex.org/W2910381306","https://openalex.org/W2926701059","https://openalex.org/W2966794404","https://openalex.org/W2982549083","https://openalex.org/W2990500525","https://openalex.org/W2993471286","https://openalex.org/W3002529007","https://openalex.org/W3040212610","https://openalex.org/W3043799819","https://openalex.org/W3049404307","https://openalex.org/W3063913079","https://openalex.org/W3116274835","https://openalex.org/W3175845646","https://openalex.org/W3214029542","https://openalex.org/W4211187780"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W4206637278","https://openalex.org/W2781247653","https://openalex.org/W4386005305","https://openalex.org/W3082051559","https://openalex.org/W125190552","https://openalex.org/W2774470613","https://openalex.org/W2914651671","https://openalex.org/W2979888616","https://openalex.org/W2181623654"],"abstract_inverted_index":{"Abstract":[0],"Researchers":[1],"publish":[2],"various":[3],"studies":[4],"to":[5,27,74],"improve":[6],"the":[7,31,45,76,80,91,112,142,147,152,156],"performance":[8],"of":[9,37,79,114,155],"network":[10,67],"intrusion":[11,68],"detection":[12,42,69,77,153],"systems.":[13,70],"However,":[14],"there":[15],"is":[16],"still":[17],"a":[18,51,60,130,138],"high":[19],"false":[20],"alarm":[21],"rate":[22],"and":[23,86,95,106,135],"missing":[24],"intrusions":[25],"due":[26],"class":[28,93],"imbalance":[29],"in":[30,40,66],"multi-class":[32,139],"dataset.":[33],"This":[34,48],"imbalanced":[35],"distribution":[36,94],"classes":[38,83,159],"results":[39,144],"low":[41],"accuracy":[43,78,154],"for":[44],"minority":[46,82,158],"classes.":[47,110],"paper":[49],"proposes":[50],"Synthetic":[52],"Multi-minority":[53],"Oversampling":[54],"(SMMO)":[55],"framework":[56,72,128,149],"by":[57,89],"integrating":[58],"with":[59,118,129,161],"collaborative":[61],"feature":[62,116],"selection":[63,117],"(CoFS)":[64],"approach":[65],"Our":[71],"aims":[73],"increase":[75],"extreme":[81,157],"(i.e.,":[84],"user-to-root":[85],"remote-to-local":[87],"attacks)":[88],"improving":[90],"dataset\u2019s":[92],"selecting":[96],"relevant":[97],"features.":[98,124],"In":[99,137],"our":[100,127],"framework,":[101],"SMMO":[102],"generates":[103],"synthetic":[104],"data":[105],"iteratively":[107],"over-samples":[108],"multi-minority":[109],"And":[111],"collaboration":[113],"correlation-based":[115],"an":[119],"evolutionary":[120],"algorithm":[121],"selects":[122],"essential":[123],"We":[125],"evaluate":[126],"random":[131],"forest,":[132],"J48,":[133],"BayesNet,":[134],"AdaBoostM1.":[136],"NSL-KDD":[140],"dataset,":[141],"experimental":[143],"show":[145],"that":[146],"proposed":[148],"significantly":[150],"improves":[151],"compared":[160],"other":[162],"approaches.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
