{"id":"W2362811086","doi":"","title":"Method of Misuse Intrusion Detection Based on Fuzzy Petri Nets","year":2007,"lang":"en","type":"article","venue":"Transactions of Beijing Institute of Technology","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Petri net; Intrusion detection system; Computer science; Fuzzy logic; Artificial intelligence; Intrusion; Machine learning; Petri dish; Artificial neural network; Data mining; Distributed computing","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":[0.001157427,0.0008304331,0.000998566,0.002008294,0.0007843034,0.001003437,0.001394155,0.000838923,0.001360155],"category_scores_gemma":[0.002541898,0.0004370662,0.0009205425,0.00079944,0.0006791166,0.001420532,0.0008610102,0.001064925,0.0003453859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008508506,"about_ca_system_score_gemma":0.001285373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003929988,"about_ca_topic_score_gemma":0.002196187,"domain_scores_codex":[0.9982886,0.0002995949,0.0001247227,0.0003352622,0.0008656452,0.00008616245],"domain_scores_gemma":[0.9989614,0.0003213346,0.00008433914,0.00009843662,0.0004892344,0.00004522864],"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":[0.0002933236,0.0001643135,0.002879174,0.0005382938,0.0002369404,0.0006463824,0.0005508113,0.08302853,0.05981234,0.03651258,0.003638812,0.8116984],"study_design_scores_gemma":[0.0000670835,0.000139837,0.001289608,0.00005473139,0.0001091171,0.0009322117,0.00009160949,0.927926,0.04925705,0.01109826,0.008912425,0.0001220239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003611702,0.0001116653,0.9942651,0.00006065168,0.00006595328,0.0001078596,0.00002452834,0.0008158194,0.0009366703],"genre_scores_gemma":[0.2628257,0.0003939847,0.7329175,0.00008427843,0.00006744408,0.0003589125,0.0001331951,0.00008566858,0.003133328],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003929988,"threshold_uncertainty_score":0.007814229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312365824449574,"score_gpt":0.2691384090073063,"score_spread":0.2560147507628106,"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."}}