{"id":"https://openalex.org/W4413010473","doi":"https://doi.org/10.1016/j.iot.2026.101970","title":"Ensemble-based adversarial defense with dynamic model selection for intrusion detection systems","display_name":"Ensemble-based adversarial defense with dynamic model selection for intrusion detection systems","publication_year":2026,"publication_date":"2026-05-08","ids":{"openalex":"https://openalex.org/W4413010473","doi":"https://doi.org/10.1016/j.iot.2026.101970"},"language":"en","primary_location":{"id":"doi:10.1016/j.iot.2026.101970","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.iot.2026.101970","pdf_url":null,"source":{"id":"https://openalex.org/S4210174276","display_name":"Internet of Things","issn_l":"2542-6605","issn":["2542-6605","2543-1536"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Internet of Things","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.iot.2026.101970","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061480012","display_name":"Md Mehedi Hasan","orcid":"https://orcid.org/0000-0003-4952-0739"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Md Mehedi Hasan","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2081-6125","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065820146","display_name":"Rafiqul Islam","orcid":"https://orcid.org/0000-0001-8317-5727"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rafiqul Islam","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8317-5727","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016319775","display_name":"Quazi Mamun","orcid":"https://orcid.org/0000-0003-2196-7651"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quazi Mamun","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2196-7651","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015246388","display_name":"Md Zahidul Islam","orcid":"https://orcid.org/0000-0002-4868-4945"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Md Zahidul Islam","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4868-4945","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015817857","display_name":"Junbin Gao","orcid":"https://orcid.org/0000-0001-9803-0256"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junbin Gao","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9803-0256","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5061480012"],"corresponding_institution_ids":[],"apc_list":{"value":2010,"currency":"USD","value_usd":2010},"apc_paid":{"value":2010,"currency":"USD","value_usd":2010},"fwci":7.5399,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.93499927,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"38","issue":null,"first_page":"101970","last_page":"101970"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987000226974487,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9987000226974487,"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/adversarial-system","display_name":"Adversarial system","score":0.8315794467926025},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6843058466911316},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.662474513053894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6520441174507141},{"id":"https://openalex.org/keywords/intrusion","display_name":"Intrusion","score":0.49152955412864685},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4504491090774536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.414247065782547},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3626052141189575},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3508676290512085},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.05384594202041626}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8315794467926025},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6843058466911316},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.662474513053894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6520441174507141},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.49152955412864685},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4504491090774536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.414247065782547},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3626052141189575},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3508676290512085},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.05384594202041626},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/j.iot.2026.101970","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.iot.2026.101970","pdf_url":null,"source":{"id":"https://openalex.org/S4210174276","display_name":"Internet of Things","issn_l":"2542-6605","issn":["2542-6605","2543-1536"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Internet of Things","raw_type":"journal-article"},{"id":"doi:10.2139/ssrn.5381771","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.5381771","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},{"id":"pmh:oai:pure.atira.dk:publications/b0931dca-4fd8-4c38-b429-6e233a4d5fa5","is_oa":true,"landing_page_url":"https://researchoutput.csu.edu.au/en/publications/b0931dca-4fd8-4c38-b429-6e233a4d5fa5","pdf_url":null,"source":{"id":"https://openalex.org/S7407055442","display_name":"Charles Sturt University Research Output (CRO)","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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hasan, MD M, Islam, R, Mamun, Q, Islam, Z & Gao, J 2026, 'Ensemble-Based Adversarial Defense with Dynamic Model Selection for Intrusion Detection Systems', Internet of Things, vol. 38, 101970. https://doi.org/10.1016/j.iot.2026.101970","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1016/j.iot.2026.101970","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.iot.2026.101970","pdf_url":null,"source":{"id":"https://openalex.org/S4210174276","display_name":"Internet of Things","issn_l":"2542-6605","issn":["2542-6605","2543-1536"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Internet of Things","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5600000023841858,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W2051267297","https://openalex.org/W2099940443","https://openalex.org/W2124477890","https://openalex.org/W2640329709","https://openalex.org/W2728257130","https://openalex.org/W2787708942","https://openalex.org/W2793165286","https://openalex.org/W2853623529","https://openalex.org/W2889836475","https://openalex.org/W2926701059","https://openalex.org/W2950468330","https://openalex.org/W2958489519","https://openalex.org/W2963001136","https://openalex.org/W2963143631","https://openalex.org/W2963744840","https://openalex.org/W2963857521","https://openalex.org/W3017825983","https://openalex.org/W3093410479","https://openalex.org/W3155427574","https://openalex.org/W3183048323","https://openalex.org/W3193327991","https://openalex.org/W3198511875","https://openalex.org/W4210598630","https://openalex.org/W4226135488","https://openalex.org/W4285058242","https://openalex.org/W4285227013","https://openalex.org/W4293584023","https://openalex.org/W4293846201","https://openalex.org/W4308149258","https://openalex.org/W4313591247","https://openalex.org/W4327990735","https://openalex.org/W4330337879","https://openalex.org/W4361289962","https://openalex.org/W4365790371","https://openalex.org/W4366774174","https://openalex.org/W4378802379","https://openalex.org/W4379964948","https://openalex.org/W4384299375","https://openalex.org/W4387735260","https://openalex.org/W4388011440","https://openalex.org/W4388542788","https://openalex.org/W4388817612","https://openalex.org/W4389471025","https://openalex.org/W4389513574","https://openalex.org/W4392386984","https://openalex.org/W4392896772","https://openalex.org/W4396878665","https://openalex.org/W4399520632","https://openalex.org/W4400737507","https://openalex.org/W4402634640","https://openalex.org/W4404037979","https://openalex.org/W4406325182","https://openalex.org/W4406991453","https://openalex.org/W4409472348","https://openalex.org/W4410061972"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W2133389611"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"FEDMS":[3],"(Framework":[4],"for":[5,17,142],"Ensemble":[6],"Defense":[7],"with":[8,51,121],"Dynamic":[9],"Model":[10],"Selection),":[11],"a":[12,52],"novel":[13],"adversarial":[14,31,108],"defense":[15,113],"system":[16],"network":[18,144],"intrusion":[19],"detection":[20,38],"that":[21,57],"addresses":[22],"the":[23],"vulnerability":[24],"of":[25],"machine":[26],"learning-based":[27],"security":[28,137],"systems":[29],"to":[30,76],"attacks.":[32],"Our":[33],"approach":[34],"integrates":[35],"nine":[36],"heterogeneous":[37],"models":[39],"across":[40],"three":[41],"categories":[42],"(deep":[43],"learning,":[44],"traditional":[45],"ML,":[46],"and":[47,72,89,101],"statistical":[48],"anomaly":[49],"detection)":[50],"multi-dimensional":[53],"confidence":[54],"scoring":[55],"mechanism":[56,130],"enables":[58],"dynamic":[59,128],"model":[60],"selection":[61,129],"based":[62],"on":[63,85,98],"input":[64],"characteristics.":[65],"The":[66,126],"framework":[67],"incorporates":[68],"real-time":[69],"adaptation":[70],"capabilities":[71],"comprehensive":[73],"uncertainty":[74],"quantification":[75],"maintain":[77],"effectiveness":[78],"against":[79],"evolving":[80],"threats.":[81],"Extensive":[82],"experimental":[83],"evaluation":[84],"KDD":[86],"Cup":[87],"1999":[88],"UNSW-NB15":[90],"datasets":[91],"demonstrates":[92],"superior":[93],"performance,":[94],"achieving":[95],"96.8%":[96],"accuracy":[97,105],"clean":[99],"data":[100],"maintaining":[102,135],"75.5%":[103],"average":[104,123],"under":[106],"strong":[107],"attacks,":[109],"significantly":[110],"outperforming":[111],"existing":[112],"mechanisms.":[114],"Real-time":[115],"simulation":[116],"validates":[117],"practical":[118],"deployment":[119],"feasibility":[120],"12.4ms":[122],"processing":[124],"latency.":[125],"system\u2019s":[127],"reduces":[131],"computational":[132],"overhead":[133],"while":[134],"robust":[136],"guarantees,":[138],"making":[139],"it":[140],"suitable":[141],"enterprise":[143],"deployment.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}