{"id":"W4407980554","doi":"10.18280/ijsse.150118","title":"A Comparative Study of Incremental and Batch Machine Learning Methodologies for Network Intrusion Detection","year":2025,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intrusion detection system; Intrusion; Computer science; Machine learning; Artificial intelligence; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008495371,0.0009712638,0.001087871,0.001916804,0.0004394314,0.001291421,0.002110196,0.0007580644,0.0005618851],"category_scores_gemma":[0.02248564,0.0003237397,0.0005853465,0.0013015,0.0006895363,0.002956716,0.0007136532,0.001281149,0.0002415578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305719,"about_ca_system_score_gemma":0.001389101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003883023,"about_ca_topic_score_gemma":0.003263385,"domain_scores_codex":[0.9966427,0.001224614,0.0002450388,0.0006379075,0.001096317,0.0001533858],"domain_scores_gemma":[0.9793988,0.01417919,0.001000995,0.002062768,0.003054091,0.0003040664],"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":[0.001219095,0.000708161,0.02170989,0.0004845751,0.0003049916,0.0001082955,0.0002625489,0.2143284,0.005369394,0.007055782,0.003463382,0.7449855],"study_design_scores_gemma":[0.000040605,0.0008413644,0.00439134,0.00004299923,0.00008228674,0.0001397688,0.00008370158,0.9806663,0.006403003,0.005183246,0.002085721,0.00003962003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.317871,0.01153526,0.6572465,0.001166043,0.0005844207,0.0005061677,0.0004625644,0.0038998,0.006728226],"genre_scores_gemma":[0.8145116,0.001409635,0.1818964,0.0001847088,0.0001434669,0.000168654,0.0005390016,0.00008698912,0.001059468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008495371,"threshold_uncertainty_score":0.04492837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966045124266171,"score_gpt":0.2902759117961378,"score_spread":0.2706154605534761,"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."}}