{"id":"W4225120347","doi":"10.3390/iot3020017","title":"Evaluation and Selection Models for Ensemble Intrusion Detection Systems in IoT","year":2022,"lang":"en","type":"article","venue":"IoT","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Denial-of-service attack; Intrusion detection system; Scalability; Traffic classification; Internet of Things; Machine learning; Artificial intelligence; Classifier (UML); Data mining; Flexibility (engineering); Computer network; Computer security; The Internet; Quality of service","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001780911,0.00008096479,0.0001007487,0.0002195546,0.0004219269,0.00008889494,0.0001320078,0.00005308663,0.000009502193],"category_scores_gemma":[0.00003793632,0.00009072275,0.00002550582,0.0005213825,0.000008006818,0.0002126625,0.0001281467,0.0001608423,0.000001562375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003170436,"about_ca_system_score_gemma":0.00004917267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000292161,"about_ca_topic_score_gemma":0.0002755297,"domain_scores_codex":[0.9986258,0.0002857763,0.0001985737,0.0003197433,0.0004044308,0.000165723],"domain_scores_gemma":[0.9995767,0.00006432019,0.00008685906,0.0001167242,0.0001229973,0.00003237053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006143381,0.00005705391,0.00001745099,0.00002097258,0.00000698282,5.295408e-7,0.0007796147,0.4350581,0.02213264,0.007224713,0.00018191,0.5344585],"study_design_scores_gemma":[0.0004854646,0.0003094467,0.0001551419,0.000009264557,0.000007522573,0.00003523876,0.0000535264,0.9736081,0.002711781,0.01985141,0.002671762,0.0001012804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4488287,0.0004675798,0.5485365,0.0001267716,0.001041324,0.0007314641,0.000001159071,0.00009270317,0.0001737575],"genre_scores_gemma":[0.9982466,0.00001425177,0.00112062,0.00005590063,0.0001181554,0.00039698,0.000001676851,0.000007181049,0.00003868339],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5494179,"threshold_uncertainty_score":0.3699566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02982964560367175,"score_gpt":0.2606925953202721,"score_spread":0.2308629497166004,"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."}}