{"id":"W4327781339","doi":"10.1109/iaecst57965.2022.10062178","title":"Improving Intrusion Detection System Using Ensemble Methods and Over-Sampling Technique","year":2022,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Intrusion detection system; Macro; Data mining; Artificial intelligence; Machine learning; Constant false alarm rate; Interpolation (computer graphics); Image (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001514884,0.0001179867,0.0001405973,0.000209695,0.001099585,0.0001608506,0.0002557431,0.00006219403,0.00002082556],"category_scores_gemma":[0.00002455559,0.0001209582,0.00004391614,0.000592313,0.00001531354,0.0004576747,0.001039442,0.0003037488,7.70794e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002633602,"about_ca_system_score_gemma":0.00002883994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004789272,"about_ca_topic_score_gemma":0.00001591667,"domain_scores_codex":[0.9985597,0.0003569239,0.0002393796,0.0004109089,0.0002164885,0.0002165583],"domain_scores_gemma":[0.9993653,0.0001020033,0.0001335374,0.0003056765,0.00003284839,0.00006060229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007916446,0.000008580458,0.000006078282,0.00003340317,0.000003266171,0.000001771319,0.0001191772,0.0007886097,0.7120688,0.004875048,0.00000253701,0.2820848],"study_design_scores_gemma":[0.0001020835,0.0001152354,0.00001536482,0.00001690625,0.000005514301,0.0003086771,0.0001392104,0.7718592,0.2247878,0.001051003,0.00145362,0.0001454402],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06309151,0.0001362375,0.9349933,0.00001689114,0.0007884075,0.0002662177,2.803053e-7,0.0004443331,0.0002628528],"genre_scores_gemma":[0.5695584,0.000003504488,0.4302651,0.00005254837,0.00005945354,0.00003846545,1.938295e-7,0.00000735235,0.00001496351],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7710705,"threshold_uncertainty_score":0.8457232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02549004319041502,"score_gpt":0.2988078145132327,"score_spread":0.2733177713228176,"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."}}