{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003630944,0.00007921204,0.000203045,0.00007953266,0.0002244844,0.00001694029,0.0002693775,0.00007170351,0.00004856677],"category_scores_gemma":[0.00006171694,0.00007065816,0.00007381305,0.00049074,0.00007263158,0.0001724181,0.0001496749,0.0001172765,0.000005749763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001270453,"about_ca_system_score_gemma":0.00001475855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008951232,"about_ca_topic_score_gemma":0.0001807627,"domain_scores_codex":[0.9990889,0.00006028897,0.0003415384,0.0001873596,0.0001502709,0.0001716723],"domain_scores_gemma":[0.9991539,0.0001462578,0.0002213055,0.0002156321,0.0002227622,0.00004019854],"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":[0.00009896654,0.0001628081,0.001492935,0.00003929683,0.00003959081,1.286059e-7,0.001197303,0.003912163,0.03343997,0.0241142,0.0009496721,0.934553],"study_design_scores_gemma":[0.0001866364,0.0009308803,0.0003227242,0.00001710405,0.000005951313,0.00000178914,0.00001937207,0.8087476,0.1749596,0.002457251,0.01228264,0.00006844378],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03401181,0.0001139345,0.9640098,0.00006430233,0.0007669865,0.0001570269,8.21435e-7,0.00008905576,0.0007863272],"genre_scores_gemma":[0.9385234,0.00001408721,0.06100003,0.00002974848,0.0003082838,0.000007300914,0.000001554935,0.00000521996,0.0001103864],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9344845,"threshold_uncertainty_score":0.2881356,"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."}}