{"id":"W1508239050","doi":"10.1109/icscs.2009.5412481","title":"Features selection approaches for Intrusion Detection Systems based on evolutionary algorithms","year":2009,"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":"University of Waterloo","funders":"","keywords":"Computer science; Intrusion detection system; Selection (genetic algorithm); Evolutionary algorithm; Evolutionary computation; Artificial intelligence; Algorithm; Machine learning","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":[0.002830491,0.0008689438,0.001550466,0.00342087,0.0007662672,0.001411356,0.001791715,0.001185304,0.001794606],"category_scores_gemma":[0.007596704,0.0005986679,0.0009522475,0.001347965,0.0006807392,0.001587427,0.0009860966,0.001029362,0.0004462801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009554,"about_ca_system_score_gemma":0.0007719028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002838708,"about_ca_topic_score_gemma":0.002522962,"domain_scores_codex":[0.9985726,0.0005394521,0.0001232468,0.0002021219,0.0004304818,0.0001321433],"domain_scores_gemma":[0.9970416,0.00183288,0.0001768036,0.0001631205,0.0006768685,0.0001086105],"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":[0.0002531425,0.000226261,0.005575943,0.0001038978,0.0002690143,0.0001984261,0.0001760922,0.4789629,0.003693457,0.007861942,0.002253894,0.5004251],"study_design_scores_gemma":[0.00002573232,0.00005221577,0.0006141406,0.000008468972,0.00002639538,0.00004992914,0.00002414804,0.9941678,0.0006141919,0.004002098,0.0004075284,0.000007336627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07342191,0.0009459985,0.9214179,0.0006027938,0.0001077306,0.0001845263,0.00006145275,0.0009591564,0.002298633],"genre_scores_gemma":[0.6748462,0.0004333083,0.3200848,0.0002984211,0.0001313969,0.0003486364,0.0002644342,0.0001291747,0.003463707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00342087,"threshold_uncertainty_score":0.01496923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083942258517776,"score_gpt":0.2247783964801805,"score_spread":0.2039389738950027,"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."}}