{"id":"W2995175434","doi":"10.1109/iemcon.2019.8936183","title":"User Modeling via Anomaly Detection Techniques for User Authentication","year":2019,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Anomaly detection; Computer science; Intrusion detection system; User modeling; Data mining; Filter (signal processing); Variety (cybernetics); Authentication (law); Big data; Data modeling; Real-time computing; User interface; Artificial intelligence; Database; 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":[0.002175614,0.000919742,0.0009528633,0.001541314,0.0005843588,0.001484872,0.001385243,0.001054861,0.001853167],"category_scores_gemma":[0.009332694,0.0004423125,0.001430611,0.001220505,0.000895036,0.002811526,0.001528321,0.002184239,0.001084235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078417,"about_ca_system_score_gemma":0.000899075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004180834,"about_ca_topic_score_gemma":0.002823884,"domain_scores_codex":[0.996734,0.001213513,0.0001868238,0.0006011911,0.001052299,0.0002123026],"domain_scores_gemma":[0.9952919,0.00237445,0.0004365653,0.0009683665,0.0008294265,0.00009930182],"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":[0.000339842,0.0002752095,0.008862151,0.0001621419,0.0002447944,0.0003431649,0.000705803,0.5079045,0.01314935,0.0869095,0.004728865,0.3763747],"study_design_scores_gemma":[0.000002712606,0.00001855886,0.0002801918,0.000005198594,0.000008913263,0.00005615778,0.00001790696,0.9846444,0.001441407,0.01250092,0.001012735,0.0000108566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004790745,0.00009540744,0.993284,0.0001269485,0.00002136115,0.00003116368,0.0000425534,0.001036368,0.0005714534],"genre_scores_gemma":[0.6288752,0.0004323129,0.3661299,0.0001402453,0.00009609514,0.0001762503,0.0003504186,0.0001867877,0.0036128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004180834,"threshold_uncertainty_score":0.0115059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158731071415135,"score_gpt":0.2521150418193131,"score_spread":0.2405277311051618,"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."}}