{"id":"https://openalex.org/W7224820391","doi":"https://doi.org/10.58257/ijprems55035","title":"ADAPTIVE AI FRAMEWORK POWERED BY MACHINE LEARNING FOR SMART NETWORK INTRUSION DETECTION SYSTEMS","display_name":"ADAPTIVE AI FRAMEWORK POWERED BY MACHINE LEARNING FOR SMART NETWORK INTRUSION DETECTION SYSTEMS","publication_year":2026,"publication_date":"2026-10-29","ids":{"openalex":"https://openalex.org/W7224820391","doi":"https://doi.org/10.58257/ijprems55035"},"language":"en","primary_location":{"id":"doi:10.58257/ijprems55035","doi":"https://doi.org/10.58257/ijprems55035","is_oa":true,"landing_page_url":"https://doi.org/10.58257/ijprems55035","pdf_url":"https://doi.org/10.58257/ijprems55035","source":{"id":"https://openalex.org/S4387284908","display_name":"International Journal of Progressive Research in Engineering Management and Science","issn_l":"2583-1062","issn":["2583-1062"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Progressive Research in Engineering Management and Science","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.58257/ijprems55035","any_repository_has_fulltext":false},"authorships":[],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86844734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.9980000257492065,"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":0.9980000257492065,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12326","display_name":"Network Packet Processing and Optimization","score":0.00039999998989515007,"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/network-intrusion-detection","display_name":"network intrusion detection","score":0.9860000014305115},{"id":"https://openalex.org/keywords/concept-drift","display_name":"concept drift","score":0.8700000047683716},{"id":"https://openalex.org/keywords/adaptive-machine-learning","display_name":"adaptive machine learning","score":0.7540000081062317},{"id":"https://openalex.org/keywords/drift-detection","display_name":"drift detection","score":0.5809999704360962},{"id":"https://openalex.org/keywords/model-retraining","display_name":"model retraining","score":0.5519999861717224},{"id":"https://openalex.org/keywords/ensemble-classifiers","display_name":"ensemble classifiers","score":0.7279999852180481},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"anomaly detection","score":0.781000018119812},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.7360000014305115},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"incremental learning","score":0.5189999938011169},{"id":"https://openalex.org/keywords/adaptive-windowing","display_name":"adaptive windowing","score":0.8240000009536743},{"id":"https://openalex.org/keywords/cicids2017","display_name":"CICIDS2017","score":0.8489999771118164},{"id":"https://openalex.org/keywords/unsw-nb15","display_name":"UNSW-NB15","score":0.9789999723434448},{"id":"https://openalex.org/keywords/cyber-defense","display_name":"cyber defense","score":0.6259999871253967},{"id":"https://openalex.org/keywords/security-operations","display_name":"security operations","score":0.5189999938011169}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7705000042915344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7215999960899353},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.64410001039505},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6208999752998352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5885000228881836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5612000226974487},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49639999866485596},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4844000041484833},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.40400001406669617},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.39480000734329224},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.3928999900817871},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3695000112056732},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35850000381469727},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C137524506","wikidata":"https://www.wikidata.org/wiki/Q2247688","display_name":"Anomaly-based intrusion detection system","level":3,"score":0.3384000062942505},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.3319999873638153},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.25699999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.58257/ijprems55035","doi":"https://doi.org/10.58257/ijprems55035","is_oa":true,"landing_page_url":"https://doi.org/10.58257/ijprems55035","pdf_url":"https://doi.org/10.58257/ijprems55035","source":{"id":"https://openalex.org/S4387284908","display_name":"International Journal of Progressive Research in Engineering Management and Science","issn_l":"2583-1062","issn":["2583-1062"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Progressive Research in Engineering Management and Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.58257/ijprems55035","doi":"https://doi.org/10.58257/ijprems55035","is_oa":true,"landing_page_url":"https://doi.org/10.58257/ijprems55035","pdf_url":"https://doi.org/10.58257/ijprems55035","source":{"id":"https://openalex.org/S4387284908","display_name":"International Journal of Progressive Research in Engineering Management and Science","issn_l":"2583-1062","issn":["2583-1062"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Progressive Research in Engineering Management and Science","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7224820391.pdf","grobid_xml":"https://content.openalex.org/works/W7224820391.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7029501768","https://openalex.org/W7214733765","https://openalex.org/W7223386305","https://openalex.org/W7155399167","https://openalex.org/W2163698217","https://openalex.org/W7221199299","https://openalex.org/W7165544325","https://openalex.org/W7167704223","https://openalex.org/W4414851666","https://openalex.org/W7161768231"],"abstract_inverted_index":{"Network":[0],"intrusion":[1,46,199],"detection":[2,47,155,200],"is":[3,100,172,177,181],"a":[4,53,61,65,70,182],"fundamental":[5],"part":[6],"of":[7,122,132,162,196],"cyber":[8],"defense,":[9],"however,":[10],"signature-based":[11],"IDS":[12,23],"are":[13,24,116],"struggling":[14],"to":[15,73,208],"detect":[16],"unknown":[17],"attacks":[18],"and":[19,30,35,64,93,95,112,134,144,159,174,185,205],"many":[20],"ML":[21,197],"based":[22,198],"trained":[25],"once":[26],"on":[27],"static":[28],"data":[29],"then":[31],"degrade":[32],"as":[33],"traffic":[34,203],"attack":[36],"behavior":[37],"evolve.This":[38],"study":[39],"proposes":[40],"an":[41,57,90],"adaptive":[42],"framework":[43,82,99,124,171],"for":[44,188],"network":[45],"that":[48],"includes":[49],"intelligent":[50],"feature":[51],"selection,":[52],"supervised":[54],"ensemble":[55,105],"classifier,":[56,92],"unsupervised":[58],"anomaly":[59],"detector,":[60],"concept-drift":[62],"monitor,":[63],"drift-triggered":[66],"model-update":[67],"policy":[68],"with":[69,138],"validation":[71],"gate":[72],"limit":[74],"unnecessary":[75],"retraining.The":[76],"primary":[77],"methods":[78],"used":[79],"in":[80],"this":[81,123],"include":[83,150],"Random":[84],"Forest,":[85,89],"Gradient":[86],"Boosting,":[87],"Isolation":[88],"incremental":[91],"ADWIN":[94],"Page-Hinkley":[96],"drift":[97,110,140],"detectors.The":[98],"formally":[101],"defined,":[102],"including":[103],"the":[104,170,194],"decision":[106],"rule,":[107],"evaluation":[108,147,176,186],"metrics,":[109],"statistic,":[111],"update":[113,157],"criterion,":[114],"which":[115],"explicitly":[117],"separated":[118],"from":[119],"standard":[120],"formulations.Evaluation":[121],"will":[125,149],"be":[126],"conducted":[127],"using":[128],"chronologically":[129],"ordered":[130],"splits":[131],"CICIDS2017":[133],"UNSW-NB15":[135],"datasets,":[136],"along":[137],"synthetic":[139],"injection,":[141],"ablation":[142],"studies,":[143],"statistical":[145],"testing.The":[146],"results":[148],"macro-F1,":[151],"recall,":[152],"false-positive":[153],"rate,":[154],"latency,":[156],"frequency,":[158],"computational":[160],"cost.As":[161],"now,":[163],"no":[164],"experiments":[165],"have":[166],"been":[167],"completed;":[168],"therefore,":[169],"proposed":[173],"its":[175],"planned.The":[178],"expected":[179],"contribution":[180],"reproducible":[183],"design":[184],"protocol":[187],"determining":[189],"if":[190],"drift-aware":[191],"adaptation":[192],"enhances":[193],"robustness":[195],"under":[201],"changing":[202],"conditions,":[204],"potentially":[206],"applied":[207],"Security":[209],"Operations":[210],"environments.":[211]},"counts_by_year":[],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2026-10-31T00:00:00"}