{"id":"W1576809010","doi":"10.1002/sec.403","title":"New class‐dependent feature transformation for intrusion detection systems","year":2011,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Computer science; Artificial intelligence; Pattern recognition (psychology); Intrusion detection system; Classifier (UML); Data mining; Transformation (genetics); Machine learning; Decision tree; Feature (linguistics); False alarm; Redundancy (engineering); Class (philosophy); Benchmark (surveying)","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":[0.00117958,0.0008597636,0.0008657649,0.00232342,0.0003446399,0.0009728785,0.001147319,0.0005307614,0.001419929],"category_scores_gemma":[0.005116636,0.0002922431,0.0008752825,0.001806166,0.0005899084,0.001863872,0.0009991674,0.001176228,0.0007469478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005864173,"about_ca_system_score_gemma":0.0005441658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001113223,"about_ca_topic_score_gemma":0.0008360668,"domain_scores_codex":[0.9976761,0.0004024585,0.0001972795,0.0004772372,0.001148528,0.00009839859],"domain_scores_gemma":[0.99757,0.000688903,0.0003337652,0.0005182117,0.000817501,0.00007163946],"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":[0.00023658,0.0002419507,0.002910524,0.0001437283,0.0001533588,0.0001040752,0.0001151127,0.04678223,0.03039176,0.00557702,0.004682476,0.9086611],"study_design_scores_gemma":[0.00002468026,0.0001311373,0.00294651,0.00001366022,0.0000290378,0.0002401534,0.00003218093,0.9605272,0.02368966,0.005999085,0.006326838,0.00003983281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01985426,0.000328848,0.9762806,0.0001246138,0.00009469745,0.00007628249,0.0001763777,0.002388899,0.0006754224],"genre_scores_gemma":[0.4296769,0.0003881919,0.5660987,0.0001231274,0.000162421,0.0002496289,0.001219762,0.0002053029,0.001875956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00232342,"threshold_uncertainty_score":0.006238282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605813220167548,"score_gpt":0.2174050568684578,"score_spread":0.2013469246667823,"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."}}