{"id":"W2910900901","doi":"10.1109/smc.2018.00719","title":"Comparison of Machine Learning Algorithms for Detection of Network Intrusions","year":2018,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Intrusion detection system; Machine learning; Artificial intelligence; Artificial neural network; Algorithm; Network security; Recurrent neural network; Intrusion; Data mining; Computer security","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":[0.0072722,0.001555636,0.001858646,0.006845369,0.0005664574,0.001498533,0.001702458,0.001712886,0.0009649171],"category_scores_gemma":[0.01738629,0.0002829169,0.001132355,0.003530038,0.0003838031,0.002171696,0.0006605564,0.001047098,0.0004914611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234985,"about_ca_system_score_gemma":0.001039502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003770123,"about_ca_topic_score_gemma":0.002121063,"domain_scores_codex":[0.9937483,0.001804712,0.0009781419,0.0007294749,0.002432669,0.0003066727],"domain_scores_gemma":[0.9817315,0.01327431,0.0006064666,0.0007985979,0.003381606,0.0002074794],"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":[0.001379609,0.0006355899,0.01850065,0.0007968902,0.0008596571,0.0001012807,0.00009627469,0.2807656,0.0029554,0.002656602,0.003872638,0.6873799],"study_design_scores_gemma":[0.00005935182,0.0004477099,0.006990924,0.00007501407,0.0001135447,0.00011379,0.0000769787,0.9849391,0.004049603,0.001548681,0.001545412,0.00003988498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4558114,0.03354749,0.4908894,0.001251811,0.001011337,0.0005187196,0.001539823,0.00620104,0.009229086],"genre_scores_gemma":[0.7197499,0.007600927,0.2657767,0.0002307744,0.0002056406,0.0003431465,0.003926005,0.000243126,0.00192377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0072722,"threshold_uncertainty_score":0.03845954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03025486473168652,"score_gpt":0.3007710971121069,"score_spread":0.2705162323804203,"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."}}