{"id":"W1965942913","doi":"10.1108/17440080810865648","title":"SensorWebIDS: a web mining intrusion detection system","year":2008,"lang":"en","type":"article","venue":"International Journal of Web Information Systems","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Intrusion detection system; Anomaly-based intrusion detection system; Web traffic; Data mining; Web service; Denial-of-service attack; Scripting language; Database; The Internet; World Wide Web; Operating system","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":[0.001021828,0.0008604546,0.001107154,0.002730412,0.0004144862,0.001059447,0.001784035,0.0006276389,0.002236145],"category_scores_gemma":[0.001943733,0.0005347497,0.0005548074,0.001416517,0.0003043192,0.00186001,0.0009959893,0.0007886945,0.001546362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005922985,"about_ca_system_score_gemma":0.0008978033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001434285,"about_ca_topic_score_gemma":0.0009801834,"domain_scores_codex":[0.9989244,0.000122951,0.0001586878,0.0002667876,0.0004663751,0.00006078471],"domain_scores_gemma":[0.9988706,0.0002305143,0.0002168648,0.0002042244,0.0003719786,0.0001058799],"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":[0.001688079,0.001301586,0.05087875,0.001405102,0.0005793876,0.001426398,0.000531496,0.02292685,0.08000557,0.007515817,0.07958947,0.7521515],"study_design_scores_gemma":[0.0003320184,0.0007297574,0.03122631,0.0001726039,0.0002384938,0.0027324,0.0002343827,0.6934898,0.1663956,0.007229486,0.09700901,0.0002101997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1035584,0.001515487,0.5758226,0.0007054603,0.0003008668,0.001259328,0.008110315,0.297284,0.01144366],"genre_scores_gemma":[0.5713329,0.001067055,0.3883538,0.001134467,0.000146995,0.001066897,0.0214296,0.001561845,0.01390652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002730412,"threshold_uncertainty_score":0.007480681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233916763287217,"score_gpt":0.220217597622151,"score_spread":0.2078784299892788,"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."}}