{"id":"https://openalex.org/W7162761876","doi":"https://doi.org/10.48550/arxiv.2605.28879","title":"Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection","display_name":"Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection","publication_year":2026,"publication_date":"2026-05-26","ids":{"openalex":"https://openalex.org/W7162761876","doi":"https://doi.org/10.48550/arxiv.2605.28879"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.28879","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.28879","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.28879","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137389726","display_name":"Ritvik Bhatnagar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bhatnagar, Ritvik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059523103","display_name":"Nouhaila Innan","orcid":"https://orcid.org/0000-0002-1014-3457"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Innan, Nouhaila","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110669091","display_name":"Angel Arul Jothi J","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J., Angel Arul Jothi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137388738","display_name":"Muhammad Shafique","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shafique, Muhammad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T12676","display_name":"Machine Learning and ELM","score":0.24709999561309814,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.24709999561309814,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.11190000176429749,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.07039999961853027,"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/reliability","display_name":"Reliability (semiconductor)","score":0.5360000133514404},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.5220999717712402},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5171999931335449},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.4941999912261963},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.46799999475479126},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45969998836517334},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4503999948501587},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.44780001044273376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6906999945640564},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5360000133514404},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5220999717712402},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5171999931335449},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.4941999912261963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46939998865127563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4690000116825104},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.46799999475479126},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45969998836517334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45750001072883606},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4503999948501587},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.44780001044273376},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.40230000019073486},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.3747999966144562},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.34389999508857727},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.3402999937534332},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3294000029563904},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.2578999996185303},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.28879","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.28879","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.28879","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.28879","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Intrusion":[0],"Detection":[1],"Systems":[2],"(IDSs)":[3],"must":[4],"maintain":[5],"high":[6],"detection":[7,107],"sensitivity":[8],"while":[9],"operating":[10],"under":[11],"strict":[12],"false-positive":[13],"constraints,":[14],"a":[15,76,87,146],"challenge":[16],"intensified":[17],"by":[18],"class":[19],"imbalance":[20],"and":[21,35,49,60,83,95,106,113,122,137],"heterogeneous":[22,29],"IoT":[23,112],"traffic.":[24],"This":[25],"work":[26],"investigates":[27],"whether":[28],"quantum":[30,100,128],"learners":[31],"can":[32],"provide":[33],"useful":[34],"non-redundant":[36],"decision":[37],"information":[38],"for":[39,149],"IDS":[40,154],"tasks.":[41],"We":[42],"study":[43],"Quantum":[44,50],"Support":[45],"Vector":[46],"Machines":[47],"(QSVMs)":[48],"Neural":[51],"Networks":[52],"(QNNs),":[53],"which":[54],"rely":[55],"on":[56,110,133],"different":[57],"learning":[58],"mechanisms":[59],"exhibit":[61],"distinct":[62],"prediction":[63,104],"behaviors.":[64],"To":[65],"combine":[66],"these":[67],"models,":[68],"we":[69],"propose":[70],"the":[71,99,134],"System-Level":[72],"Meta-Quantum":[73],"Ensemble":[74],"(MQE),":[75],"hybrid":[77],"quantum-classical":[78],"framework":[79],"that":[80,116],"fuses":[81],"QSVM":[82],"QNN":[84],"outputs":[85],"using":[86],"Random":[88],"Forest":[89],"meta-learner.":[90],"The":[91,140],"meta-learner":[92],"captures":[93],"agreement":[94],"disagreement":[96],"patterns":[97],"between":[98],"branches":[101],"to":[102],"improve":[103],"stability":[105],"performance.":[108],"Experiments":[109],"TON":[111],"CICIDS2017":[114],"show":[115],"MQE":[117],"improves":[118],"selected":[119],"performance,":[120],"low-FPR,":[121],"reliability":[123],"metrics":[124],"over":[125],"several":[126],"standalone":[127],"learners,":[129],"with":[130],"gains":[131],"depending":[132],"dataset,":[135],"metric,":[136],"fusion":[138,144],"representation.":[139],"results":[141],"highlight":[142],"meta-level":[143],"as":[145],"practical":[147],"strategy":[148],"building":[150],"more":[151],"reliable":[152],"QML-based":[153],"pipelines.":[155]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-30T00:00:00"}