{"id":"W4390229370","doi":"10.18280/ria.370627","title":"Intelligent Intrusion Detection System Snort and SVM","year":2023,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Intrusion detection system; Support vector machine; Computer science; Data mining; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00162783,0.0004338491,0.0004471794,0.0005112504,0.001007558,0.000566007,0.0006600389,0.0004252763,0.0002462515],"category_scores_gemma":[0.000184231,0.0004868078,0.0002028847,0.003115905,0.0003563369,0.000887832,0.0008198592,0.0006730814,0.00625801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002865523,"about_ca_system_score_gemma":0.00007408555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004679044,"about_ca_topic_score_gemma":0.0002051195,"domain_scores_codex":[0.9961117,0.0003372542,0.001009753,0.001162475,0.000445351,0.0009334668],"domain_scores_gemma":[0.9977573,0.0003544769,0.0002915785,0.0009439125,0.000289787,0.0003629881],"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":[0.00003792241,0.00009912004,0.00005063969,0.0006199534,0.0000342374,0.0001291825,0.004104102,0.02118189,0.003057445,0.07689863,0.001451193,0.8923357],"study_design_scores_gemma":[0.00004137443,0.0003351292,0.0000879587,0.0007381091,0.00003115392,0.000404402,0.001635656,0.7906664,0.1010833,0.002930569,0.1016265,0.0004194578],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06728081,0.008549921,0.8982808,0.00407846,0.01588606,0.0008279373,0.00001186818,0.001133387,0.003950783],"genre_scores_gemma":[0.9788032,0.006158424,0.0009381591,0.0001512852,0.001121206,0.00005965296,0.000009445695,0.0000495503,0.01270907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9115224,"threshold_uncertainty_score":0.9997584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04419718124506615,"score_gpt":0.2611913909521497,"score_spread":0.2169942097070836,"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."}}