{"id":"W4402449473","doi":"10.3390/fi16090331","title":"A Complete EDA and DL Pipeline for Softwarized 5G Network Intrusion Detection","year":2024,"lang":"en","type":"article","venue":"Future Internet","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Pipeline (software); Intrusion detection system; Embedded system; Computer security; Operating 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":[0.001722015,0.001102984,0.0008922347,0.001903399,0.0005615547,0.001413061,0.00166062,0.0008081071,0.002942597],"category_scores_gemma":[0.003133343,0.0004221787,0.001172089,0.0009318827,0.0004220055,0.001969241,0.002209593,0.001689462,0.001757971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009002807,"about_ca_system_score_gemma":0.001980423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006715479,"about_ca_topic_score_gemma":0.00955499,"domain_scores_codex":[0.9992022,0.0001306176,0.00008003463,0.0002299391,0.0002435009,0.0001137948],"domain_scores_gemma":[0.9989176,0.0003156753,0.00007696146,0.0002582582,0.000345091,0.0000864768],"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":[0.0007149322,0.0008335317,0.02028233,0.0003152435,0.0002841589,0.0005247609,0.0001778905,0.1326716,0.02302261,0.008643168,0.02098192,0.7915478],"study_design_scores_gemma":[0.00002302075,0.0001027604,0.001639519,0.00001646128,0.00002436748,0.0001048559,0.00005433308,0.9801384,0.007506396,0.005615497,0.004752828,0.00002149287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02511741,0.0006520044,0.9532058,0.001008699,0.0001149481,0.0004481272,0.002228874,0.01547239,0.001751845],"genre_scores_gemma":[0.3991743,0.000483516,0.5862852,0.0009492504,0.0001030745,0.0005790893,0.007371962,0.0002543461,0.004799244],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006715479,"threshold_uncertainty_score":0.01335275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050679855486119,"score_gpt":0.2304036726099322,"score_spread":0.219896874055071,"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."}}