{"id":"W2041144750","doi":"10.1109/glocom.2011.6134252","title":"Rule Mode Selection in Intrusion Detection and Prevention Systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Korea Science and Engineering Foundation","keywords":"Intrusion detection system; Computer science; Usability; Computer security; Network security; Network packet; Enforcement; Mode (computer interface); Selection (genetic algorithm); Computer network; Artificial intelligence","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":[0.005190129,0.000885049,0.001216787,0.001647997,0.0006186374,0.001583441,0.001636266,0.0008885568,0.00117966],"category_scores_gemma":[0.01124919,0.0007211555,0.0005339009,0.001245111,0.001227037,0.001709663,0.0008686007,0.0008606242,0.0003534578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008209908,"about_ca_system_score_gemma":0.001026676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002181815,"about_ca_topic_score_gemma":0.001918573,"domain_scores_codex":[0.9959177,0.001900302,0.000336295,0.0005519002,0.001074267,0.0002194265],"domain_scores_gemma":[0.9940379,0.004303036,0.0004552289,0.0004444337,0.0006185771,0.0001408754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004489582,0.0002499539,0.005334216,0.0002814985,0.0001334556,0.0002481694,0.0003861126,0.5446014,0.01300118,0.0126057,0.001327252,0.4213821],"study_design_scores_gemma":[0.00005975665,0.0001727896,0.0006675428,0.00004113721,0.00005308205,0.0001834225,0.00006198551,0.9769695,0.008149226,0.01204028,0.001573782,0.00002743355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06364539,0.001246845,0.9313194,0.0002366772,0.00003696676,0.000195531,0.00004919544,0.001158329,0.002111674],"genre_scores_gemma":[0.6408546,0.0005699375,0.3561953,0.0001172611,0.00004120537,0.0002213772,0.00009492075,0.00009851906,0.001806882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005190129,"threshold_uncertainty_score":0.02744836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849431547794771,"score_gpt":0.2278304370027861,"score_spread":0.2093361215248384,"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."}}