{"id":"W3185213024","doi":"10.5120/ijca2021921489","title":"A Hybrid Data Mining Model for Intrusion Detection","year":2021,"lang":"en","type":"article","venue":"International Journal of Computer Applications","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Intrusion detection system; Data mining; Intrusion; Data science; Geology","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":[0.003086292,0.001145098,0.001588,0.00268983,0.0006094292,0.002414173,0.00309338,0.001455295,0.001360328],"category_scores_gemma":[0.004714506,0.000563722,0.002111046,0.003646117,0.000518034,0.003080059,0.001328936,0.001835523,0.001007687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134838,"about_ca_system_score_gemma":0.00117827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004703912,"about_ca_topic_score_gemma":0.004988261,"domain_scores_codex":[0.9972647,0.0006625318,0.0003214644,0.0007286461,0.0008992885,0.0001233623],"domain_scores_gemma":[0.9973432,0.001408969,0.0001671228,0.000314471,0.0007004905,0.00006566767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004838408,0.0006499487,0.01100629,0.0005382645,0.000901889,0.0004293779,0.0003065531,0.4613651,0.005976657,0.05027194,0.007632755,0.4604373],"study_design_scores_gemma":[0.000008598204,0.0000504019,0.0003444516,0.00001432985,0.00003315484,0.0001130175,0.00001499129,0.986734,0.0007334766,0.009404155,0.002536255,0.00001304452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00704187,0.0007000416,0.9892815,0.0003675431,0.00008642756,0.0001305497,0.0004360086,0.0009407171,0.00101537],"genre_scores_gemma":[0.2659202,0.001429333,0.7240534,0.000442877,0.0001786912,0.0007755913,0.002318021,0.0001134479,0.004768438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004703912,"threshold_uncertainty_score":0.01632208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03615091020081107,"score_gpt":0.2988858283746535,"score_spread":0.2627349181738424,"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."}}