{"id":"W6926684399","doi":"10.24433/co.0736044.v1","title":"IDS-ML: Intrusion Detection System Development Using Machine Learning","year":2022,"lang":"en","type":"other","venue":"Code Ocean","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Intrusion detection system; Naive Bayes classifier; Bayesian probability; Random forest; Anomaly-based intrusion detection system; Bayesian inference; Intrusion; Support vector machine","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":[0.0009232259,0.001606966,0.0005921837,0.001916131,0.0004504008,0.001486827,0.002024743,0.0009588773,0.1455693],"category_scores_gemma":[0.005568837,0.0009654987,0.0007438227,0.001331074,0.0005604973,0.0024398,0.001778602,0.001928853,0.1136403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049239,"about_ca_system_score_gemma":0.001430762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005293206,"about_ca_topic_score_gemma":0.00495795,"domain_scores_codex":[0.9987767,0.000119983,0.00008961277,0.0002088886,0.0007003567,0.0001044477],"domain_scores_gemma":[0.9976572,0.0007554703,0.0001363916,0.000401689,0.0008688646,0.0001802713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002112169,0.0001009832,0.0008067091,0.0003583845,0.00002675368,0.0001398459,0.0000700876,0.003631848,0.003853383,0.006297425,0.8362765,0.1482269],"study_design_scores_gemma":[0.0003525719,0.000143105,0.002396175,0.0002147037,0.00003697264,0.000516141,0.00003501778,0.1143328,0.04009803,0.01388305,0.8278697,0.0001217239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.002008286,0.0002797258,0.2233929,0.0007169658,0.0002896066,0.0004328731,0.02232734,0.6992759,0.05127646],"genre_scores_gemma":[0.05669578,0.001000771,0.3346006,0.001903268,0.0003554903,0.001390916,0.1423852,0.2024441,0.2592238],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1455693,"threshold_uncertainty_score":0.4869779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351369311589973,"score_gpt":0.2454929341312372,"score_spread":0.2319792410153374,"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."}}