{"id":"W4402447701","doi":"10.3390/electronics13183601","title":"Machine Learning-Based Intrusion Detection Methods in IoT Systems: A Comprehensive Review","year":2024,"lang":"en","type":"review","venue":"Electronics","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Intrusion detection system; Pace; Computer science; Internet of Things; Flexibility (engineering); Artificial intelligence; Machine learning; Computer security; Data science","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001681595,0.0006352264,0.001929769,0.0006891039,0.0001712426,0.0002226417,0.0009118897,0.0005024219,0.00002418401],"category_scores_gemma":[0.0001441204,0.000524274,0.0005681742,0.003062406,0.00003086218,0.00009632547,0.0003526256,0.003100026,0.0002055753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009970573,"about_ca_system_score_gemma":0.0005810677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004359131,"about_ca_topic_score_gemma":0.00007918117,"domain_scores_codex":[0.994192,0.002635747,0.001119333,0.00100933,0.0004010434,0.000642568],"domain_scores_gemma":[0.9980255,0.0004226067,0.0005522526,0.0007752232,0.0001204314,0.000103937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002541991,0.00002392228,1.499574e-8,0.04295038,0.00004223171,0.00001740355,0.00001143881,0.0002635322,0.000002280987,0.0005774979,0.0001836377,0.9559251],"study_design_scores_gemma":[0.00008377841,0.0002643043,2.549773e-8,0.04172818,0.0002809095,0.0001355726,5.713761e-7,0.1553043,0.000007949964,0.0001464053,0.801659,0.0003890735],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[1.951309e-7,0.9023947,0.09434873,0.00007384639,0.001452476,0.001244073,0.00000252829,0.000409498,0.00007393299],"genre_scores_gemma":[0.000001766469,0.9965974,0.002468124,0.000194896,0.0001926108,0.0002865164,0.00003150546,0.00006696435,0.0001602008],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9555361,"threshold_uncertainty_score":0.9997209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03614375103758181,"score_gpt":0.3556933869141664,"score_spread":0.3195496358765845,"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."}}