{"id":"https://openalex.org/W4408325831","doi":"https://doi.org/10.1109/globecom52923.2024.10901168","title":"ME-IDS: An Ensemble Transfer Learning Framework Based on Misclassified Samples for Intrusion Detection Systems","display_name":"ME-IDS: An Ensemble Transfer Learning Framework Based on Misclassified Samples for Intrusion Detection Systems","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4408325831","doi":"https://doi.org/10.1109/globecom52923.2024.10901168"},"language":"en","primary_location":{"id":"doi:10.1109/globecom52923.2024.10901168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","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/A5101763843","display_name":"Arka Ghosh","orcid":"https://orcid.org/0000-0002-9479-2250"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Arka Ghosh","raw_affiliation_strings":["Dalhousie University,Faculty of Computer Science,Halifax,Canada"],"affiliations":[{"raw_affiliation_string":"Dalhousie University,Faculty of Computer Science,Halifax,Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033658029","display_name":"Qiang Ye","orcid":"https://orcid.org/0000-0001-6711-7818"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Qiang Ye","raw_affiliation_strings":["Dalhousie University,Faculty of Computer Science,Halifax,Canada"],"affiliations":[{"raw_affiliation_string":"Dalhousie University,Faculty of Computer Science,Halifax,Canada","institution_ids":["https://openalex.org/I129902397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101763843"],"corresponding_institution_ids":["https://openalex.org/I129902397"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33454401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2383","last_page":"2388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9645000100135803,"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/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7689748406410217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7510366439819336},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6015985608100891},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5657563805580139},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4403444528579712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.425309419631958},{"id":"https://openalex.org/keywords/intrusion","display_name":"Intrusion","score":0.41456180810928345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36873042583465576},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0859144926071167},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.05713924765586853}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7689748406410217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7510366439819336},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6015985608100891},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5657563805580139},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4403444528579712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.425309419631958},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.41456180810928345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36873042583465576},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0859144926071167},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.05713924765586853},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom52923.2024.10901168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1830453967","https://openalex.org/W2165698076","https://openalex.org/W2296509296","https://openalex.org/W3121022046","https://openalex.org/W3121972055","https://openalex.org/W3128708983","https://openalex.org/W3129273143","https://openalex.org/W3167979994","https://openalex.org/W4290996887","https://openalex.org/W4362587694","https://openalex.org/W4381250040","https://openalex.org/W6674385629","https://openalex.org/W6676179485"],"related_works":["https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2355007334","https://openalex.org/W2906422846","https://openalex.org/W2390009783","https://openalex.org/W4254602698","https://openalex.org/W2133389611","https://openalex.org/W4385398839","https://openalex.org/W4384700341","https://openalex.org/W4394759804"],"abstract_inverted_index":{"In":[0,63,107],"our":[1],"digitally":[2],"interconnected":[3],"world,":[4],"the":[5,16,22,38,44,103,153],"demand":[6],"for":[7,33,51,76],"robust":[8],"security":[9],"measures":[10],"has":[11],"become":[12],"increasingly":[13],"apparent,":[14],"given":[15],"escalating":[17],"threat":[18],"of":[19,105,114,149],"cyberattacks":[20],"on":[21,134],"Internet.":[23],"Intrusion":[24],"Detection":[25],"Systems":[26],"(IDS)":[27],"have":[28],"emerged":[29],"as":[30],"vital":[31],"safeguards":[32],"Internet":[34],"network":[35],"infrastructure.":[36],"Despite":[37],"significant":[39],"advancements":[40],"in":[41,57,79,119,126],"IDS":[42,77,138],"over":[43],"past":[45],"decades,":[46],"there":[47],"remains":[48],"much":[49],"room":[50],"improvement,":[52],"especially":[53],"with":[54],"recent":[55],"advances":[56],"machine":[58],"learning":[59,74,117,122],"and":[60,95],"deep":[61],"learning.":[62],"this":[64],"paper,":[65],"we":[66],"propose":[67],"a":[68,97,115,135],"Misclassified":[69],"sample":[70],"based":[71,133],"Ensemble":[72],"transfer":[73,116],"framework":[75],"(ME-IDS)":[78],"order":[80],"to":[81,91,101,145],"effectively":[82],"detect":[83],"malicious":[84],"intrusions.":[85],"Technically,":[86],"ME-IDS":[87,143],"employs":[88],"frequency":[89],"encoding":[90],"handle":[92],"categorical":[93],"features":[94],"utilizes":[96],"feature":[98],"selection":[99],"method":[100],"mitigate":[102],"curse":[104],"dimensionality.":[106],"addition,":[108],"it":[109],"leverages":[110],"three":[111],"hyper-parameter-tuned":[112],"variants":[113],"model":[118],"its":[120],"ensemble":[121],"stage,":[123],"ultimately":[124],"resulting":[125],"high":[127],"detection":[128,155],"accuracy.":[129],"Our":[130],"experimental":[131],"results":[132],"publicly":[136],"available":[137],"dataset,":[139],"UNSW-NB15,":[140],"indicate":[141],"that":[142],"leads":[144],"an":[146],"impressive":[147],"accuracy":[148],"99.72%,":[150],"significantly":[151],"outperforming":[152],"state-of-the-art":[154],"systems.":[156]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}