{"id":"W4392158746","doi":"10.1109/globecom54140.2023.10436768","title":"Secure and Efficient Federated Learning for Robust Intrusion Detection in IoT Networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Internet of Things; Intrusion detection system; Computer security; Computer network; Distributed computing","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":[0.0005389382,0.0001054271,0.0001153306,0.0002140485,0.0003960364,0.0001902642,0.0001174189,0.0001244014,0.000009274967],"category_scores_gemma":[0.00005566328,0.00009815447,0.00003046798,0.001148723,0.00001688485,0.000110438,0.0001618788,0.0002438566,0.00001116738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000409264,"about_ca_system_score_gemma":0.00001123986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004551764,"about_ca_topic_score_gemma":0.0003399851,"domain_scores_codex":[0.9989796,0.00007863903,0.0001888974,0.0003505449,0.0001195137,0.0002827757],"domain_scores_gemma":[0.999616,0.0001372519,0.0000515654,0.00008688731,0.00005212162,0.00005616087],"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":[0.00002990128,0.00001689694,0.00006856099,0.00001121694,0.000003169989,0.000002847506,0.000279538,0.7563409,0.0009522996,0.001017907,0.0002608146,0.241016],"study_design_scores_gemma":[0.0003768941,0.0001508613,0.001596725,0.00002410251,0.000001514137,0.000007492467,0.00006165275,0.994141,0.001237723,0.000300615,0.001977872,0.000123563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3267771,0.00004222214,0.6719287,0.0002596386,0.0003198473,0.000214006,6.860456e-8,0.0003492126,0.0001091986],"genre_scores_gemma":[0.9976553,0.00006223071,0.001837386,0.0001137516,0.000112246,0.00003304891,0.000002751389,0.000008981365,0.0001742574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6708782,"threshold_uncertainty_score":0.4002623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350078635640385,"score_gpt":0.2244316092658615,"score_spread":0.2109308229094577,"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."}}