{"id":"W4211089413","doi":"10.1109/ccnc49033.2022.9700597","title":"An Anomaly Detection Model for IoT Networks based on Flow and Flag Features using a Feed-Forward Neural Network","year":2022,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Anomaly detection; Artificial neural network; MQTT; Data mining; Intrusion detection system; Artificial intelligence; Internet of Things; Precision and recall; Machine learning; Embedded system","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":[0.0006942777,0.0008443044,0.0005846775,0.0008357562,0.0003322421,0.0007959097,0.001184432,0.0007462751,0.001014761],"category_scores_gemma":[0.001226543,0.0003390488,0.000596822,0.0005775903,0.0003687453,0.001429374,0.000557376,0.001569475,0.000350967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152326,"about_ca_system_score_gemma":0.0009623377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01171321,"about_ca_topic_score_gemma":0.01029658,"domain_scores_codex":[0.9997341,0.00002937842,0.00001749734,0.0001000417,0.00007301546,0.00004593566],"domain_scores_gemma":[0.9994555,0.0001520332,0.00007212289,0.00003803822,0.0002548881,0.00002745958],"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":[0.0002960995,0.0003721307,0.00716052,0.00007138503,0.0001260792,0.0001506404,0.00008969859,0.6691337,0.01229205,0.004401857,0.003364129,0.3025417],"study_design_scores_gemma":[0.00000152876,0.00001300288,0.0001736435,0.000001739234,0.000005248238,0.000007118188,0.000001924617,0.9985309,0.0007173117,0.0004641726,0.0000809763,0.000002430099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1024536,0.0004202254,0.8905855,0.0006268029,0.0001571066,0.00008965223,0.000345628,0.003275598,0.002045775],"genre_scores_gemma":[0.8988531,0.0002757087,0.09588075,0.000166649,0.00006792395,0.0001240438,0.0004941212,0.00005698389,0.004080641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01171321,"threshold_uncertainty_score":0.02329004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533747709763551,"score_gpt":0.2355556845826346,"score_spread":0.2202182074849991,"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."}}