{"id":"W7125952715","doi":"10.1109/smc58881.2025.11343130","title":"Adaptive Heterogeneous Ensemble Learning for Attack Detection in IoT Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Ensemble learning; Key (lock); Internet of Things; Attack model; Class (philosophy); Ensemble forecasting; Selection (genetic algorithm); Mechanism (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002994355,0.0009149235,0.001611166,0.001416316,0.0006604534,0.0007994198,0.001361758,0.0008037615,0.0005066454],"category_scores_gemma":[0.0047317,0.0003539383,0.0007986394,0.0009226341,0.000358203,0.001675798,0.001135756,0.001412476,0.000219034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005985173,"about_ca_system_score_gemma":0.0006230907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002927451,"about_ca_topic_score_gemma":0.003219257,"domain_scores_codex":[0.9988717,0.0003834463,0.0000593177,0.0002266212,0.0003032289,0.000155583],"domain_scores_gemma":[0.9978235,0.001066226,0.0001978977,0.000282472,0.0005294475,0.0001004755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001467624,0.0002481459,0.007275392,0.00003304821,0.000195264,0.00009733317,0.00007038058,0.7617493,0.002830806,0.002686904,0.001652812,0.2230139],"study_design_scores_gemma":[0.000001429586,0.000014754,0.0002090881,0.000001601582,0.000006744942,0.000007609449,0.000005297009,0.9983103,0.000327861,0.001031194,0.00008160194,0.000002456947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08009553,0.0005587357,0.91695,0.0002599493,0.00008083276,0.0000538864,0.00007104307,0.0008060548,0.001123871],"genre_scores_gemma":[0.9030208,0.0002748035,0.09519085,0.0001387408,0.00009210323,0.00007127217,0.0002618649,0.00004124075,0.0009082074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002994355,"threshold_uncertainty_score":0.01583588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147863914921683,"score_gpt":0.2626287145935269,"score_spread":0.2411500754443101,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}