{"id":"W4400277025","doi":"10.1109/wcnc57260.2024.10570551","title":"Temporal Partitioned Federated Learning for IoT Intrusion Detection Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Intrusion detection system; Internet of Things; Federated learning; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004070553,0.0001084263,0.0001086891,0.0001392015,0.000491526,0.0009158267,0.0001314365,0.0001011445,0.00003393542],"category_scores_gemma":[0.00003623412,0.00009399558,0.0000677698,0.0005067001,0.00001340929,0.0004328047,0.0000658384,0.000185236,0.0001089635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006839811,"about_ca_system_score_gemma":0.00004168951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001009209,"about_ca_topic_score_gemma":0.00007902153,"domain_scores_codex":[0.9989578,0.00008735599,0.0002308461,0.00035244,0.0001652406,0.0002063164],"domain_scores_gemma":[0.9995805,0.0001010253,0.00004121366,0.0001234449,0.00009314752,0.00006065208],"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":[0.0001125552,0.00009606953,0.0000590788,0.0004141518,0.00009061,0.00002422344,0.0008676223,0.02528661,0.0458816,0.1519632,0.009276242,0.765928],"study_design_scores_gemma":[0.0001210205,0.0002262586,0.00001803162,0.00005761611,0.000004333268,0.000026499,0.00003112295,0.8958801,0.0107554,0.002004243,0.09075256,0.0001228326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02179207,0.000319889,0.9720536,0.0004460571,0.003042316,0.0003103973,4.692565e-7,0.001255496,0.0007796429],"genre_scores_gemma":[0.9961983,0.0000196894,0.001852195,0.00006107733,0.0003974464,0.00008421209,0.000006652559,0.00001122901,0.001369187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9744062,"threshold_uncertainty_score":0.8831338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166609759686859,"score_gpt":0.2437919947527394,"score_spread":0.2271310187840535,"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."}}