{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006173013,0.0001749915,0.0001841639,0.0001067211,0.0006248991,0.000226519,0.0006376768,0.0003037608,0.00001122526],"category_scores_gemma":[0.00001447523,0.0001747326,0.00007294026,0.0003191611,0.00003961898,0.001059308,0.000179812,0.0004293536,0.000004889248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005254852,"about_ca_system_score_gemma":0.00002738512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000230414,"about_ca_topic_score_gemma":0.0004778639,"domain_scores_codex":[0.9987392,0.0002178735,0.0003181852,0.0002951247,0.0001791688,0.0002504219],"domain_scores_gemma":[0.998693,0.0001032305,0.0001946333,0.0007339038,0.0001366254,0.0001386134],"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":[0.000289966,0.0001375139,0.00003554028,0.0000930925,0.0000609148,7.317179e-7,0.01812055,0.001353631,0.0001732785,0.3514259,0.003004411,0.6253045],"study_design_scores_gemma":[0.0008840939,0.0002840158,0.0003038411,0.00009581615,0.00002864807,0.00004632629,0.0003842212,0.9245247,0.001046851,0.03510353,0.03696251,0.0003354389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00521694,0.003551342,0.9863394,0.0006219475,0.0007712804,0.0007058292,0.000002199699,0.000270234,0.002520757],"genre_scores_gemma":[0.9920338,0.002493115,0.004905148,0.000188487,0.0001767636,0.00008138838,0.00002366504,0.00001151749,0.00008610205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9868169,"threshold_uncertainty_score":0.7125387,"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."}}