{"id":"W4408311884","doi":"10.22541/au.174168329.96264496/v1","title":"Dynamic learning framework for IoT intrusion detection using statistical approach and unsupervised learning.","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Unsupervised learning; Computer science; Intrusion detection system; Artificial intelligence; Statistical learning; Internet of Things; Machine learning; Computer security","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":[0.002322832,0.0007557441,0.0009481899,0.002072281,0.0004300681,0.00114611,0.001760256,0.00079602,0.001058195],"category_scores_gemma":[0.004608701,0.0004315961,0.001227452,0.001548818,0.000888777,0.001382096,0.001324514,0.001483997,0.0004575701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184907,"about_ca_system_score_gemma":0.001502333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00419808,"about_ca_topic_score_gemma":0.005246434,"domain_scores_codex":[0.9988517,0.0003901777,0.00007292437,0.0002860433,0.0003109249,0.00008831848],"domain_scores_gemma":[0.9981952,0.000994596,0.0002250195,0.0002020858,0.0003159435,0.00006717176],"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":[0.00008626105,0.0003189853,0.005381415,0.0001415905,0.0003331401,0.0001651336,0.0001329756,0.6782115,0.00367315,0.05120117,0.003690981,0.2566637],"study_design_scores_gemma":[0.000002041928,0.00001482409,0.0002519806,0.000002817714,0.00000642246,0.00001935516,0.000005832055,0.9907884,0.0002712823,0.008003755,0.0006287136,0.000004637709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002721453,0.0001792429,0.9960611,0.0001195647,0.00002012401,0.00003065327,0.00005523696,0.0004370314,0.0003756203],"genre_scores_gemma":[0.3962638,0.0006356448,0.5985788,0.0002661149,0.0002506108,0.0005104406,0.0007912021,0.0002231319,0.002480334],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00419808,"threshold_uncertainty_score":0.01228446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052659844370541,"score_gpt":0.2845531918804558,"score_spread":0.2640265934367504,"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."}}