{"id":"W4386601539","doi":"10.3390/electronics12183830","title":"Improved Resnet Model Based on Positive Traffic Flow for IoT Anomalous Traffic Detection","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Residual; Block (permutation group theory); Internet of Things; Residual neural network; Convolution (computer science); Convolutional neural network; Data mining; Computer network; Artificial intelligence; Artificial neural network; Computer security; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007134903,0.0009352561,0.0005332609,0.0009166931,0.0002403265,0.0005722541,0.00115352,0.0007123133,0.00167764],"category_scores_gemma":[0.001164027,0.0002476677,0.0007585605,0.0004321533,0.0003375385,0.001274378,0.0004034027,0.0008628643,0.0005732668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009489838,"about_ca_system_score_gemma":0.0007659792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01401943,"about_ca_topic_score_gemma":0.01273834,"domain_scores_codex":[0.9998022,0.0000381229,0.00001073519,0.00005549357,0.00005535555,0.00003816302],"domain_scores_gemma":[0.9996368,0.00010069,0.00003968316,0.00002927845,0.0001733666,0.00002016728],"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":[0.0001996372,0.00009919376,0.001970136,0.00004842541,0.00004595673,0.0001303032,0.00004012785,0.8930681,0.0080793,0.004669516,0.002604055,0.08904518],"study_design_scores_gemma":[0.000001631946,0.00001014332,0.0000949282,0.000001278488,0.000002630429,0.000008915074,0.000001560547,0.9986672,0.0007502396,0.0003269152,0.0001325395,0.000002076357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1258435,0.0005412807,0.8646446,0.0005552789,0.0002370038,0.00009367053,0.0004364562,0.002722787,0.004925471],"genre_scores_gemma":[0.8716466,0.0003771944,0.1184909,0.00024583,0.00009365216,0.0001264612,0.001071049,0.0001695493,0.007778835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01401943,"threshold_uncertainty_score":0.02787566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009183336911347185,"score_gpt":0.2245359221437565,"score_spread":0.2153525852324093,"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."}}