{"id":"W2942788712","doi":"10.1109/iscas.2019.8702583","title":"Machine Learning Techniques for Classifying Network Anomalies and Intrusions","year":2019,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning; Recurrent neural network; Deep learning; Artificial neural network; Border Gateway Protocol; Intrusion detection system; Routing (electronic design automation); Data mining; Routing protocol; Computer network","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":[0.002542374,0.001544779,0.001294734,0.006679645,0.0004768924,0.00128169,0.001303462,0.001310467,0.001066528],"category_scores_gemma":[0.006618427,0.0003236043,0.001061241,0.004170668,0.0005722572,0.001842731,0.000665402,0.001447152,0.0008191371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008354302,"about_ca_system_score_gemma":0.0007224043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002967457,"about_ca_topic_score_gemma":0.002665234,"domain_scores_codex":[0.9982298,0.0003393775,0.0002413904,0.0003482129,0.0007212566,0.0001199209],"domain_scores_gemma":[0.9965596,0.001759391,0.0005827127,0.0003486487,0.0006880254,0.00006154761],"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":[0.0001034306,0.0003238981,0.01138346,0.0003096533,0.0002790389,0.0001557211,0.000104841,0.1646812,0.007023927,0.004872585,0.005381617,0.8053806],"study_design_scores_gemma":[0.00001413536,0.00009100456,0.003206734,0.00005269553,0.000053083,0.000141147,0.0000487932,0.9806161,0.004182126,0.009210751,0.002357296,0.00002614371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04264472,0.003311344,0.9456008,0.0007055667,0.0001901717,0.0001803357,0.0006268119,0.004102475,0.002637828],"genre_scores_gemma":[0.5178949,0.002783424,0.4733061,0.0003372213,0.0003633627,0.0002895472,0.002122691,0.0001387299,0.002764063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006679645,"threshold_uncertainty_score":0.01344556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219402967417253,"score_gpt":0.2318770540751241,"score_spread":0.2196830244009516,"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."}}