{"id":"W4413917826","doi":"10.1109/csp66295.2025.00026","title":"Optimizing Real-Time Network Intrusion Detection Using a Refined Data Filtering Method","year":2025,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Computer science; Intrusion detection system; Data mining; Real-time 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002941642,0.001133658,0.001196687,0.001582633,0.0004080643,0.0008966543,0.001422755,0.0009432484,0.000674879],"category_scores_gemma":[0.006285707,0.0005141947,0.001021056,0.000940282,0.000531182,0.001267686,0.0005190769,0.001067953,0.0003438114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009482851,"about_ca_system_score_gemma":0.001459922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007043,"about_ca_topic_score_gemma":0.008509609,"domain_scores_codex":[0.9984028,0.0003833822,0.0001431188,0.0004637357,0.0004596926,0.0001474499],"domain_scores_gemma":[0.9963061,0.001858437,0.0003239225,0.0005949875,0.0008212817,0.0000953081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004534943,0.0005037735,0.009952719,0.0000752575,0.0002024112,0.0001096247,0.00008859048,0.6395464,0.04301641,0.001973129,0.001463355,0.3026149],"study_design_scores_gemma":[0.00001148722,0.00004489894,0.000759298,0.000001735409,0.00001217897,0.0000201804,0.000004398505,0.9949657,0.003683931,0.0002841169,0.0002054799,0.000006544297],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.060242,0.000139216,0.9374633,0.0001347139,0.00002701331,0.00005909913,0.00006716584,0.00150265,0.0003649124],"genre_scores_gemma":[0.5779423,0.00009238863,0.4202022,0.0001323459,0.00004691499,0.000109142,0.0004420486,0.0001219903,0.0009106451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01007043,"threshold_uncertainty_score":0.02002364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03564819342254545,"score_gpt":0.3064497273153816,"score_spread":0.2708015338928361,"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."}}