{"id":"W4321637167","doi":"10.1109/sisy56759.2022.10036296","title":"Machine Learning for Detecting Internet Traffic Anomalies","year":2022,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Border Gateway Protocol; Computer science; Default-free zone; The Internet; Routing protocol; Intrusion detection system; Computer network; Boosting (machine learning); Gradient boosting; Routing (electronic design automation); Machine learning; Intrusion; Artificial intelligence; Static routing; World Wide Web; Random forest","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":[0.001617718,0.001206556,0.001008127,0.001713804,0.0004281231,0.001166924,0.001092807,0.001192467,0.001240713],"category_scores_gemma":[0.005204821,0.0003429843,0.0006903602,0.001610196,0.0004250628,0.001202997,0.0006935797,0.001853736,0.0007252663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000839908,"about_ca_system_score_gemma":0.0008841146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004851228,"about_ca_topic_score_gemma":0.003151518,"domain_scores_codex":[0.998717,0.0004106981,0.0001082281,0.0003090658,0.0003389866,0.0001161023],"domain_scores_gemma":[0.9974267,0.001611594,0.0002239314,0.0002342045,0.0004477357,0.00005575177],"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":[0.0001198175,0.0003693058,0.008944222,0.0002026796,0.0002086462,0.00009268576,0.00004816721,0.5045856,0.002427339,0.005014759,0.00810446,0.4698824],"study_design_scores_gemma":[0.000003436432,0.00002225838,0.0006069708,0.000008929148,0.000006801027,0.00001232521,0.000005969775,0.9947768,0.000462325,0.003505627,0.0005837111,0.000004867642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06743077,0.006230317,0.9155922,0.00134703,0.0003541148,0.0001798257,0.001232841,0.00374607,0.003886863],"genre_scores_gemma":[0.8035429,0.002719234,0.1854066,0.0003811928,0.0004051164,0.0003340931,0.003137241,0.0001114502,0.003962215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004851228,"threshold_uncertainty_score":0.009645998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582831492067612,"score_gpt":0.2255937668216348,"score_spread":0.2097654519009586,"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."}}