{"id":"W4409140393","doi":"10.1007/s10489-025-06422-4","title":"Advanced IDS: a comparative study of datasets and machine learning algorithms for network flow-based intrusion detection systems","year":2025,"lang":"en","type":"article","venue":"Applied Intelligence","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Mitacs","keywords":"Computer science; Intrusion detection system; Machine learning; Algorithm; Artificial intelligence; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01322151,0.003074626,0.001858376,0.01162199,0.001270296,0.004409896,0.003991177,0.002706388,0.001996114],"category_scores_gemma":[0.02736047,0.0004930376,0.002060486,0.009476376,0.001054846,0.006193243,0.002785895,0.002313072,0.001666989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003345043,"about_ca_system_score_gemma":0.002204743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009168995,"about_ca_topic_score_gemma":0.00677172,"domain_scores_codex":[0.9867872,0.003472632,0.002159436,0.002761219,0.004237679,0.0005818874],"domain_scores_gemma":[0.9835496,0.007260879,0.0009971017,0.003701757,0.00385083,0.0006399123],"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":[0.003507641,0.003961046,0.0729999,0.005845098,0.002179147,0.0004095669,0.0005494007,0.1628553,0.00459474,0.01611352,0.2667001,0.4602846],"study_design_scores_gemma":[0.0007948673,0.002542409,0.07602279,0.001502428,0.0007677121,0.001568216,0.001511356,0.6476809,0.01548598,0.02175542,0.2299545,0.0004133431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5247274,0.0507575,0.085797,0.008694956,0.006396036,0.002054391,0.259438,0.03359341,0.02854132],"genre_scores_gemma":[0.356813,0.006984227,0.112024,0.001082009,0.0009582971,0.001076013,0.5165454,0.001073136,0.003443846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01322151,"threshold_uncertainty_score":0.0699228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02914073778254503,"score_gpt":0.2889112217738891,"score_spread":0.2597704839913441,"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."}}