{"id":"W7132105764","doi":"","title":"PyTorch-based deep learning approach for real-time network traffic analysis","year":2023,"lang":"en","type":"dissertation","venue":"FH JOANNEUM ePUB","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relevance (law); Process (computing); Deep learning; Intrusion detection system; Strengths and weaknesses; Anomaly detection; Set (abstract data type)","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":[0.0006416157,0.001162013,0.0008436125,0.001638598,0.000452788,0.001107645,0.002074724,0.001035289,0.004346053],"category_scores_gemma":[0.0016781,0.0005273158,0.001205417,0.00152838,0.0004668654,0.00146385,0.001271297,0.002478053,0.001784362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339069,"about_ca_system_score_gemma":0.001853004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01829618,"about_ca_topic_score_gemma":0.0255529,"domain_scores_codex":[0.9996096,0.00005282482,0.00002197061,0.0001236627,0.0001241936,0.00006778276],"domain_scores_gemma":[0.9995978,0.0001328743,0.00003400904,0.00005821112,0.0001498846,0.00002720449],"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":[0.0002538318,0.0003362621,0.003104732,0.0001940557,0.0002260478,0.0001999146,0.00008386437,0.5524901,0.005878018,0.008951362,0.02174982,0.406532],"study_design_scores_gemma":[0.000003936652,0.0000180073,0.0001844817,0.000004780652,0.000006028304,0.0000170926,0.000005463645,0.9963229,0.0007336232,0.001814857,0.0008838609,0.000004925496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0354907,0.001084023,0.943269,0.0005291327,0.0002168545,0.0001665967,0.002079587,0.01282213,0.004342019],"genre_scores_gemma":[0.4969016,0.001599369,0.4734504,0.0006666585,0.0001963371,0.000528994,0.01038259,0.0007730498,0.01550107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01829618,"threshold_uncertainty_score":0.0363794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01224960389294357,"score_gpt":0.2446783153963996,"score_spread":0.2324287115034561,"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."}}